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How to Publish a Research Paper – Step by Step Guide

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Publishing a research paper is an important step for researchers to disseminate their findings to a wider audience and contribute to the advancement of knowledge in their field. Whether you are a graduate student, a postdoctoral fellow, or an established researcher, publishing a paper requires careful planning, rigorous research, and clear writing. In this process, you will need to identify a research question , conduct a thorough literature review , design a methodology, analyze data, and draw conclusions. Additionally, you will need to consider the appropriate journals or conferences to submit your work to and adhere to their guidelines for formatting and submission. In this article, we will discuss some ways to publish your Research Paper.

How to Publish a Research Paper

To Publish a Research Paper follow the guide below:

• Conduct original research : Conduct thorough research on a specific topic or problem. Collect data, analyze it, and draw conclusions based on your findings.
• Write the paper : Write a detailed paper describing your research. It should include an abstract, introduction, literature review, methodology, results, discussion, and conclusion.
• Choose a suitable journal or conference : Look for a journal or conference that specializes in your research area. You can check their submission guidelines to ensure your paper meets their requirements.
• Prepare your submission: Follow the guidelines and prepare your submission, including the paper, abstract, cover letter, and any other required documents.
• Submit the paper: Submit your paper online through the journal or conference website. Make sure you meet the submission deadline.
• Peer-review process : Your paper will be reviewed by experts in the field who will provide feedback on the quality of your research, methodology, and conclusions.
• Revisions : Based on the feedback you receive, revise your paper and resubmit it.
• Acceptance : Once your paper is accepted, you will receive a notification from the journal or conference. You may need to make final revisions before the paper is published.
• Publication : Your paper will be published online or in print. You can also promote your work through social media or other channels to increase its visibility.

How to Choose Journal for Research Paper Publication

Here are some steps to follow to help you select an appropriate journal:

• Identify your research topic and audience : Your research topic and intended audience should guide your choice of journal. Identify the key journals in your field of research and read the scope and aim of the journal to determine if your paper is a good fit.
• Analyze the journal’s impact and reputation : Check the impact factor and ranking of the journal, as well as its acceptance rate and citation frequency. A high-impact journal can give your paper more visibility and credibility.
• Consider the journal’s publication policies : Look for the journal’s publication policies such as the word count limit, formatting requirements, open access options, and submission fees. Make sure that you can comply with the requirements and that the journal is in line with your publication goals.
• Look at recent publications : Review recent issues of the journal to evaluate whether your paper would fit in with the journal’s current content and style.
• Seek advice from colleagues and mentors: Ask for recommendations and suggestions from your colleagues and mentors in your field, especially those who have experience publishing in the same or similar journals.
• Be prepared to make changes : Be prepared to revise your paper according to the requirements and guidelines of the chosen journal. It is also important to be open to feedback from the editor and reviewers.

List of Journals for Research Paper Publications

There are thousands of academic journals covering various fields of research. Here are some of the most popular ones, categorized by field:

General/Multidisciplinary

• Nature: https://www.nature.com/
• Science: https://www.sciencemag.org/
• PLOS ONE: https://journals.plos.org/plosone/
• Proceedings of the National Academy of Sciences (PNAS): https://www.pnas.org/
• The Lancet: https://www.thelancet.com/
• JAMA (Journal of the American Medical Association): https://jamanetwork.com/journals/jama

Social Sciences/Humanities

• Journal of Personality and Social Psychology: https://www.apa.org/pubs/journals/psp
• Journal of Consumer Research: https://www.journals.uchicago.edu/journals/jcr
• Journal of Educational Psychology: https://www.apa.org/pubs/journals/edu
• Journal of Applied Psychology: https://www.apa.org/pubs/journals/apl
• Journal of Communication: https://academic.oup.com/joc
• American Journal of Political Science: https://ajps.org/
• Journal of International Business Studies: https://www.jibs.net/
• Journal of Marketing Research: https://www.ama.org/journal-of-marketing-research/

Natural Sciences

• Journal of Biological Chemistry: https://www.jbc.org/
• Cell: https://www.cell.com/
• Science Advances: https://advances.sciencemag.org/
• Chemical Reviews: https://pubs.acs.org/journal/chreay
• Angewandte Chemie: https://onlinelibrary.wiley.com/journal/15213765
• Physical Review Letters: https://journals.aps.org/prl/
• Journal of Geophysical Research: https://agupubs.onlinelibrary.wiley.com/journal/2156531X
• Journal of High Energy Physics: https://link.springer.com/journal/13130

Engineering/Technology

• IEEE Transactions on Neural Networks and Learning Systems: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5962385
• IEEE Transactions on Power Systems: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59
• IEEE Transactions on Medical Imaging: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=42
• IEEE Transactions on Control Systems Technology: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=87
• Journal of Engineering Mechanics: https://ascelibrary.org/journal/jenmdt
• Journal of Materials Science: https://www.springer.com/journal/10853
• Journal of Chemical Engineering of Japan: https://www.jstage.jst.go.jp/browse/jcej
• Journal of Mechanical Design: https://asmedigitalcollection.asme.org/mechanicaldesign

Medical/Health Sciences

• New England Journal of Medicine: https://www.nejm.org/
• The BMJ (formerly British Medical Journal): https://www.bmj.com/
• Journal of the American Medical Association (JAMA): https://jamanetwork.com/journals/jama
• Annals of Internal Medicine: https://www.acpjournals.org/journal/aim
• American Journal of Epidemiology: https://academic.oup.com/aje
• Journal of Clinical Oncology: https://ascopubs.org/journal/jco
• Journal of Infectious Diseases: https://academic.oup.com/jid

List of Conferences for Research Paper Publications

There are many conferences that accept research papers for publication. The specific conferences you should consider will depend on your field of research. Here are some suggestions for conferences in a few different fields:

Computer Science and Information Technology:

• IEEE International Conference on Computer Communications (INFOCOM): https://www.ieee-infocom.org/
• ACM SIGCOMM Conference on Data Communication: https://conferences.sigcomm.org/sigcomm/
• IEEE Symposium on Security and Privacy (SP): https://www.ieee-security.org/TC/SP/
• ACM Conference on Computer and Communications Security (CCS): https://www.sigsac.org/ccs/
• ACM Conference on Human-Computer Interaction (CHI): https://chi2022.acm.org/

Engineering:

• IEEE International Conference on Robotics and Automation (ICRA): https://www.ieee-icra.org/
• International Conference on Mechanical and Aerospace Engineering (ICMAE): http://www.icmae.org/
• International Conference on Civil and Environmental Engineering (ICCEE): http://www.iccee.org/
• International Conference on Materials Science and Engineering (ICMSE): http://www.icmse.org/
• International Conference on Energy and Power Engineering (ICEPE): http://www.icepe.org/

Natural Sciences:

• American Chemical Society National Meeting & Exposition: https://www.acs.org/content/acs/en/meetings/national-meeting.html
• American Physical Society March Meeting: https://www.aps.org/meetings/march/
• International Conference on Environmental Science and Technology (ICEST): http://www.icest.org/
• International Conference on Natural Science and Environment (ICNSE): http://www.icnse.org/
• International Conference on Life Science and Biological Engineering (LSBE): http://www.lsbe.org/

Social Sciences:

• Annual Meeting of the American Sociological Association (ASA): https://www.asanet.org/annual-meeting-2022
• International Conference on Social Science and Humanities (ICSSH): http://www.icssh.org/
• International Conference on Psychology and Behavioral Sciences (ICPBS): http://www.icpbs.org/
• International Conference on Education and Social Science (ICESS): http://www.icess.org/
• International Conference on Management and Information Science (ICMIS): http://www.icmis.org/

How to Publish a Research Paper in Journal

Publishing a research paper in a journal is a crucial step in disseminating scientific knowledge and contributing to the field. Here are the general steps to follow:

• Choose a research topic : Select a topic of your interest and identify a research question or problem that you want to investigate. Conduct a literature review to identify the gaps in the existing knowledge that your research will address.
• Conduct research : Develop a research plan and methodology to collect data and conduct experiments. Collect and analyze data to draw conclusions that address the research question.
• Write a paper: Organize your findings into a well-structured paper with clear and concise language. Your paper should include an introduction, literature review, methodology, results, discussion, and conclusion. Use academic language and provide references for your sources.
• Choose a journal: Choose a journal that is relevant to your research topic and audience. Consider factors such as impact factor, acceptance rate, and the reputation of the journal.
• Follow journal guidelines : Review the submission guidelines and formatting requirements of the journal. Follow the guidelines carefully to ensure that your paper meets the journal’s requirements.
• Submit your paper : Submit your paper to the journal through the online submission system or by email. Include a cover letter that briefly explains the significance of your research and why it is suitable for the journal.
• Wait for reviews: Your paper will be reviewed by experts in the field. Be prepared to address their comments and make revisions to your paper.
• Revise and resubmit: Make revisions to your paper based on the reviewers’ comments and resubmit it to the journal. If your paper is accepted, congratulations! If not, consider revising and submitting it to another journal.
• Address reviewer comments : Reviewers may provide comments and suggestions for revisions to your paper. Address these comments carefully and thoughtfully to improve the quality of your paper.
• Submit the final version: Once your revisions are complete, submit the final version of your paper to the journal. Be sure to follow any additional formatting guidelines and requirements provided by the journal.
• Publication : If your paper is accepted, it will be published in the journal. Some journals provide online publication while others may publish a print version. Be sure to cite your published paper in future research and communicate your findings to the scientific community.

How to Publish a Research Paper for Students

Here are some steps you can follow to publish a research paper as an Under Graduate or a High School Student:

• Select a topic: Choose a topic that is relevant and interesting to you, and that you have a good understanding of.
• Conduct research : Gather information and data on your chosen topic through research, experiments, surveys, or other means.
• Write the paper : Start with an outline, then write the introduction, methods, results, discussion, and conclusion sections of the paper. Be sure to follow any guidelines provided by your instructor or the journal you plan to submit to.
• Edit and revise: Review your paper for errors in spelling, grammar, and punctuation. Ask a peer or mentor to review your paper and provide feedback for improvement.
• Choose a journal : Look for journals that publish papers in your field of study and that are appropriate for your level of research. Some popular journals for students include PLOS ONE, Nature, and Science.
• Submit the paper: Follow the submission guidelines for the journal you choose, which typically include a cover letter, abstract, and formatting requirements. Be prepared to wait several weeks to months for a response.
• Address feedback : If your paper is accepted with revisions, address the feedback from the reviewers and resubmit your paper. If your paper is rejected, review the feedback and consider revising and resubmitting to a different journal.

How to Publish a Research Paper for Free

Publishing a research paper for free can be challenging, but it is possible. Here are some steps you can take to publish your research paper for free:

• Choose a suitable open-access journal: Look for open-access journals that are relevant to your research area. Open-access journals allow readers to access your paper without charge, so your work will be more widely available.
• Check the journal’s reputation : Before submitting your paper, ensure that the journal is reputable by checking its impact factor, publication history, and editorial board.
• Follow the submission guidelines : Every journal has specific guidelines for submitting papers. Make sure to follow these guidelines carefully to increase the chances of acceptance.
• Submit your paper : Once you have completed your research paper, submit it to the journal following their submission guidelines.
• Wait for the review process: Your paper will undergo a peer-review process, where experts in your field will evaluate your work. Be patient during this process, as it can take several weeks or even months.
• Revise your paper : If your paper is rejected, don’t be discouraged. Revise your paper based on the feedback you receive from the reviewers and submit it to another open-access journal.
• Promote your research: Once your paper is published, promote it on social media and other online platforms. This will increase the visibility of your work and help it reach a wider audience.

Journals and Conferences for Free Research Paper publications

Here are the websites of the open-access journals and conferences mentioned:

Open-Access Journals:

• PLOS ONE – https://journals.plos.org/plosone/
• BMC Research Notes – https://bmcresnotes.biomedcentral.com/
• Frontiers in… – https://www.frontiersin.org/
• Journal of Open Research Software – https://openresearchsoftware.metajnl.com/
• PeerJ – https://peerj.com/

Conferences:

• IEEE Global Communications Conference (GLOBECOM) – https://globecom2022.ieee-globecom.org/
• IEEE International Conference on Computer Communications (INFOCOM) – https://infocom2022.ieee-infocom.org/
• IEEE International Conference on Data Mining (ICDM) – https://www.ieee-icdm.org/
• ACM SIGCOMM Conference on Data Communication (SIGCOMM) – https://conferences.sigcomm.org/sigcomm/
• ACM Conference on Computer and Communications Security (CCS) – https://www.sigsac.org/ccs/CCS2022/

Importance of Research Paper Publication

Research paper publication is important for several reasons, both for individual researchers and for the scientific community as a whole. Here are some reasons why:

• Advancing scientific knowledge : Research papers provide a platform for researchers to present their findings and contribute to the body of knowledge in their field. These papers often contain novel ideas, experimental data, and analyses that can help to advance scientific understanding.
• Building a research career : Publishing research papers is an essential component of building a successful research career. Researchers are often evaluated based on the number and quality of their publications, and having a strong publication record can increase one’s chances of securing funding, tenure, or a promotion.
• Peer review and quality control: Publication in a peer-reviewed journal means that the research has been scrutinized by other experts in the field. This peer review process helps to ensure the quality and validity of the research findings.
• Recognition and visibility : Publishing a research paper can bring recognition and visibility to the researchers and their work. It can lead to invitations to speak at conferences, collaborations with other researchers, and media coverage.
• Impact on society : Research papers can have a significant impact on society by informing policy decisions, guiding clinical practice, and advancing technological innovation.

Advantages of Research Paper Publication

There are several advantages to publishing a research paper, including:

• Recognition: Publishing a research paper allows researchers to gain recognition for their work, both within their field and in the academic community as a whole. This can lead to new collaborations, invitations to conferences, and other opportunities to share their research with a wider audience.
• Career advancement : A strong publication record can be an important factor in career advancement, particularly in academia. Publishing research papers can help researchers secure funding, grants, and promotions.
• Dissemination of knowledge : Research papers are an important way to share new findings and ideas with the broader scientific community. By publishing their research, scientists can contribute to the collective body of knowledge in their field and help advance scientific understanding.
• Feedback and peer review : Publishing a research paper allows other experts in the field to provide feedback on the research, which can help improve the quality of the work and identify potential flaws or limitations. Peer review also helps ensure that research is accurate and reliable.
• Citation and impact : Published research papers can be cited by other researchers, which can help increase the impact and visibility of the research. High citation rates can also help establish a researcher’s reputation and credibility within their field.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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How to Write and Publish Your Research in a Journal

Last Updated: February 26, 2024 Fact Checked

Choosing a Journal

Writing the research paper, editing & revising your paper, submitting your paper, navigating the peer review process, research paper help.

This article was co-authored by Matthew Snipp, PhD and by wikiHow staff writer, Cheyenne Main . C. Matthew Snipp is the Burnet C. and Mildred Finley Wohlford Professor of Humanities and Sciences in the Department of Sociology at Stanford University. He is also the Director for the Institute for Research in the Social Science’s Secure Data Center. He has been a Research Fellow at the U.S. Bureau of the Census and a Fellow at the Center for Advanced Study in the Behavioral Sciences. He has published 3 books and over 70 articles and book chapters on demography, economic development, poverty and unemployment. He is also currently serving on the National Institute of Child Health and Development’s Population Science Subcommittee. He holds a Ph.D. in Sociology from the University of Wisconsin—Madison. There are 13 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 695,884 times.

Publishing a research paper in a peer-reviewed journal allows you to network with other scholars, get your name and work into circulation, and further refine your ideas and research. Before submitting your paper, make sure it reflects all the work you’ve done and have several people read over it and make comments. Keep reading to learn how you can choose a journal, prepare your work for publication, submit it, and revise it after you get a response back.

Things You Should Know

• Create a list of journals you’d like to publish your work in and choose one that best aligns with your topic and your desired audience.
• Prepare your manuscript using the journal’s requirements and ask at least 2 professors or supervisors to review your paper.
• Write a cover letter that “sells” your manuscript, says how your research adds to your field and explains why you chose the specific journal you’re submitting to.

• Ask your professors or supervisors for well-respected journals that they’ve had good experiences publishing with and that they read regularly.
• Many journals also only accept specific formats, so by choosing a journal before you start, you can write your article to their specifications and increase your chances of being accepted.
• If you’ve already written a paper you’d like to publish, consider whether your research directly relates to a hot topic or area of research in the journals you’re looking into.

• Review the journal’s peer review policies and submission process to see if you’re comfortable creating or adjusting your work according to their standards.
• Open-access journals can increase your readership because anyone can access them.

• Scientific research papers: Instead of a “thesis,” you might write a “research objective” instead. This is where you state the purpose of your research.
• “This paper explores how George Washington’s experiences as a young officer may have shaped his views during difficult circumstances as a commanding officer.”
• “This paper contends that George Washington’s experiences as a young officer on the 1750s Pennsylvania frontier directly impacted his relationship with his Continental Army troops during the harsh winter at Valley Forge.”

• Scientific research papers: Include a “materials and methods” section with the step-by-step process you followed and the materials you used. [5] X Research source
• Read other research papers in your field to see how they’re written. Their format, writing style, subject matter, and vocabulary can help guide your own paper. [6] X Research source

• If you’re writing about George Washington’s experiences as a young officer, you might emphasize how this research changes our perspective of the first president of the U.S.
• Link this section to your thesis or research objective.
• If you’re writing a paper about ADHD, you might discuss other applications for your research.

• Scientific research papers: You might include your research and/or analytical methods, your main findings or results, and the significance or implications of your research.
• Try to get as many people as you can to read over your abstract and provide feedback before you submit your paper to a journal.

• They might also provide templates to help you structure your manuscript according to their specific guidelines. [11] X Research source

• Not all journal reviewers will be experts on your specific topic, so a non-expert “outsider’s perspective” can be valuable.

• If you have a paper on the purification of wastewater with fungi, you might use both the words “fungi” and “mushrooms.”
• Use software like iThenticate, Turnitin, or PlagScan to check for similarities between the submitted article and published material available online. [15] X Research source

• Header: Address the editor who will be reviewing your manuscript by their name, include the date of submission, and the journal you are submitting to.
• First paragraph: Include the title of your manuscript, the type of paper it is (like review, research, or case study), and the research question you wanted to answer and why.
• Second paragraph: Explain what was done in your research, your main findings, and why they are significant to your field.
• Third paragraph: Explain why the journal’s readers would be interested in your work and why your results are important to your field.
• Conclusion: State the author(s) and any journal requirements that your work complies with (like ethical standards”).
• “We confirm that this manuscript has not been published elsewhere and is not under consideration by another journal.”
• “All authors have approved the manuscript and agree with its submission to [insert the name of the target journal].”

• Submit your article to only one journal at a time.
• When submitting online, use your university email account. This connects you with a scholarly institution, which can add credibility to your work.

• Accept: Only minor adjustments are needed, based on the provided feedback by the reviewers. A first submission will rarely be accepted without any changes needed.
• Revise and Resubmit: Changes are needed before publication can be considered, but the journal is still very interested in your work.
• Reject and Resubmit: Extensive revisions are needed. Your work may not be acceptable for this journal, but they might also accept it if significant changes are made.
• Reject: The paper isn’t and won’t be suitable for this publication, but that doesn’t mean it might not work for another journal.

• Try organizing the reviewer comments by how easy it is to address them. That way, you can break your revisions down into more manageable parts.
• If you disagree with a comment made by a reviewer, try to provide an evidence-based explanation when you resubmit your paper.

• If you’re resubmitting your paper to the same journal, include a point-by-point response paper that talks about how you addressed all of the reviewers’ comments in your revision. [22] X Research source
• If you’re not sure which journal to submit to next, you might be able to ask the journal editor which publications they recommend.

Expert Q&A

You might also like.

• If reviewers suspect that your submitted manuscript plagiarizes another work, they may refer to a Committee on Publication Ethics (COPE) flowchart to see how to move forward. [23] X Research source Thanks Helpful 0 Not Helpful 0

• ↑ https://www.wiley.com/en-us/network/publishing/research-publishing/choosing-a-journal/6-steps-to-choosing-the-right-journal-for-your-research-infographic
• ↑ https://link.springer.com/article/10.1007/s13187-020-01751-z
• ↑ https://libguides.unomaha.edu/c.php?g=100510&p=651627
• ↑ http://www.canberra.edu.au/library/start-your-research/research_help/publishing-research
• ↑ https://writingcenter.fas.harvard.edu/conclusions
• ↑ https://writing.wisc.edu/handbook/assignments/writing-an-abstract-for-your-research-paper/
• ↑ https://www.springer.com/gp/authors-editors/book-authors-editors/your-publication-journey/manuscript-preparation
• ↑ https://apus.libanswers.com/writing/faq/2391
• ↑ https://academicguides.waldenu.edu/library/keyword/search-strategy
• ↑ https://ifis.libguides.com/journal-publishing-guide/submitting-your-paper
• ↑ https://www.springer.com/kr/authors-editors/authorandreviewertutorials/submitting-to-a-journal-and-peer-review/cover-letters/10285574
• ↑ http://www.apa.org/monitor/sep02/publish.aspx
• ↑ Matthew Snipp, PhD. Research Fellow, U.S. Bureau of the Census. Expert Interview. 26 March 2020.

About This Article

To publish a research paper, ask a colleague or professor to review your paper and give you feedback. Once you've revised your work, familiarize yourself with different academic journals so that you can choose the publication that best suits your paper. Make sure to look at the "Author's Guide" so you can format your paper according to the guidelines for that publication. Then, submit your paper and don't get discouraged if it is not accepted right away. You may need to revise your paper and try again. To learn about the different responses you might get from journals, see our reviewer's explanation below. Did this summary help you? Yes No

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Home → Get Published → How to Publish a Research Paper: A Step-by-Step Guide

How to Publish a Research Paper: A Step-by-Step Guide

Jordan Kruszynski

• January 4, 2024

You’re in academia.

You’re going steady.

Your research is going well and you begin to wonder: ‘ How exactly do I get a research paper published?’

If this is the question on your lips, then this step-by-step guide is the one for you. We’ll be walking you through the whole process of how to publish a research paper.

Publishing a research paper is a significant milestone for researchers and academics, as it allows you to share your findings, contribute to your field of study, and start to gain serious recognition within the wider academic community. So, want to know how to publish a research paper? By following our guide, you’ll get a firm grasp of the steps involved in this process, giving you the best chance of successfully navigating the publishing process and getting your work out there.

Understanding the Publishing Process

To begin, it’s crucial to understand that getting a research paper published is a multi-step process. From beginning to end, it could take as little as 2 months before you see your paper nestled in the pages of your chosen journal. On the other hand, it could take as long as a year .

Below, we set out the steps before going into more detail on each one. Getting a feel for these steps will help you to visualise what lies ahead, and prepare yourself for each of them in turn. It’s important to remember that you won’t actually have control over every step – in fact, some of them will be decided by people you’ll probably never meet. However, knowing which parts of the process are yours to decide will allow you to adjust your approach and attitude accordingly.

Each of the following stages will play a vital role in the eventual publication of your paper:

• Preparing Your Research Paper
• Finding the Right Journal
• Crafting a Strong Manuscript
• Navigating the Peer-Review Process
• Submitting Your Paper
• Dealing with Rejections and Revising Your Paper

Step 1: Preparing Your Research Paper

It all starts here. The quality and content of your research paper is of fundamental importance if you want to get it published. This step will be different for every researcher depending on the nature of your research, but if you haven’t yet settled on a topic, then consider the following advice:

• Choose an interesting and relevant topic that aligns with current trends in your field. If your research touches on the passions and concerns of your academic peers or wider society, it may be more likely to capture attention and get published successfully.
• Conduct a comprehensive literature review (link to lit. review article once it’s published) to identify the state of existing research and any knowledge gaps within it. Aiming to fill a clear gap in the knowledge of your field is a great way to increase the practicality of your research and improve its chances of getting published.
• Structure your paper in a clear and organised manner, including all the necessary sections such as title, abstract, introduction (link to the ‘how to write a research paper intro’ article once it’s published) , methodology, results, discussion, and conclusion.
• Adhere to the formatting guidelines provided by your target journal to ensure that your paper is accepted as viable for publishing. More on this in the next section…

Step 2: Finding the Right Journal

Understanding how to publish a research paper involves selecting the appropriate journal for your work. This step is critical for successful publication, and you should take several factors into account when deciding which journal to apply for:

• Conduct thorough research to identify journals that specialise in your field of study and have published similar research. Naturally, if you submit a piece of research in molecular genetics to a journal that specialises in geology, you won’t be likely to get very far.
• Consider factors such as the journal’s scope, impact factor, and target audience. Today there is a wide array of journals to choose from, including traditional and respected print journals, as well as numerous online, open-access endeavours. Some, like Nature , even straddle both worlds.
• Review the submission guidelines provided by the journal and ensure your paper meets all the formatting requirements and word limits. This step is key. Nature, for example, offers a highly informative series of pages that tells you everything you need to know in order to satisfy their formatting guidelines (plus more on the whole submission process).
• Note that these guidelines can differ dramatically from journal to journal, and details really do matter. You might submit an outstanding piece of research, but if it includes, for example, images in the wrong size or format, this could mean a lengthy delay to getting it published. If you get everything right first time, you’ll save yourself a lot of time and trouble, as well as strengthen your publishing chances in the first place.

Step 3: Crafting a Strong Manuscript

Crafting a strong manuscript is crucial to impress journal editors and reviewers. Look at your paper as a complete package, and ensure that all the sections tie together to deliver your findings with clarity and precision.

• Begin by creating a clear and concise title that accurately reflects the content of your paper.
• Compose an informative abstract that summarises the purpose, methodology, results, and significance of your study.
• Craft an engaging introduction (link to the research paper introduction article) that draws your reader in.
• Develop a well-structured methodology section, presenting your results effectively using tables and figures.
• Write a compelling discussion and conclusion that emphasise the significance of your findings.

Step 4: Navigating the Peer-Review Process

Once you submit your research paper to a journal, it undergoes a rigorous peer-review process to ensure its quality and validity. In peer-review, experts in your field assess your research and provide feedback and suggestions for improvement, ultimately determining whether your paper is eligible for publishing or not. You are likely to encounter several models of peer-review, based on which party – author, reviewer, or both – remains anonymous throughout the process.

When your paper undergoes the peer-review process, be prepared for constructive criticism and address the comments you receive from your reviewer thoughtfully, providing clear and concise responses to their concerns or suggestions. These could make all the difference when it comes to making your next submission.

The peer-review process can seem like a closed book at times. Check out our discussion of the issue with philosopher and academic Amna Whiston in The Research Beat podcast!

Step 5: Submitting Your Paper

As we’ve already pointed out, one of the key elements in how to publish a research paper is ensuring that you meticulously follow the journal’s submission guidelines. Strive to comply with all formatting requirements, including citation styles, font, margins, and reference structure.

Before the final submission, thoroughly proofread your paper for errors, including grammar, spelling, and any inconsistencies in your data or analysis. At this stage, consider seeking feedback from colleagues or mentors to further improve the quality of your paper.

Step 6: Dealing with Rejections and Revising Your Paper

Rejection is a common part of the publishing process, but it shouldn’t discourage you. Analyse reviewer comments objectively and focus on the constructive feedback provided. Make necessary revisions and improvements to your paper to address the concerns raised by reviewers. If needed, consider submitting your paper to a different journal that is a better fit for your research.

For more tips on how to publish your paper out there, check out this thread by Dr. Asad Naveed ( @dr_asadnaveed ) – and if you need a refresher on the basics of how to publish under the Open Access model, watch this 5-minute video from Audemic Academy !

Final Thoughts

Successfully understanding how to publish a research paper requires dedication, attention to detail, and a systematic approach. By following the advice in our guide, you can increase your chances of navigating the publishing process effectively and achieving your goal of publication.

Remember, the journey may involve revisions, peer feedback, and potential rejections, but each step is an opportunity for growth and improvement. Stay persistent, maintain a positive mindset, and continue to refine your research paper until it reaches the standards of your target journal. Your contribution to your wider discipline through published research will not only advance your career, but also add to the growing body of collective knowledge in your field. Embrace the challenges and rewards that come with the publication process, and may your research paper make a significant impact in your area of study!

Looking for inspiration for your next big paper? Head to Audemic , where you can organise and listen to all the best and latest research in your field!

Keep striving, researchers! ✨

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Understanding the Publishing Process

What’s happening with my paper? The publication process explained

The path to publication can be unsettling when you’re unsure what’s happening with your paper. Learn about staple journal workflows to see the detailed steps required for ensuring a rigorous and ethical publication.

Your team has prepared the paper, written a cover letter and completed the submission form. From here, it can sometimes feel like a waiting game while the journal has your paper.  It can be unclear exactly who is currently handling your paper as most individuals are only involved in a few steps of the overall process. Journals are responsible for overseeing the peer review, publication and archival process: editors, reviewers, technical editors, production staff and other internal staff all have their roles in ensuring submissions meet rigorous scientific and ethical reporting standards. 

Read on for an inside look at how a conventional peer-reviewed journal helps authors transform their initial submission to a certified publication. 

Note that the description below is based on the process at PLOS journals. It is likely that at other journals, various roles (e.g. technical editor) may in fact also be played by the editor, and some journals may not have journal staff at all, with all roles played by volunteer academics. As such, please consider the processes and waypoints, rather than who performs them, as the key information.

Internal Checks on New Submissions

Estimated time: 10 days.

When a journal first receives your submission, there are typically two separate checks to confirm that the paper is appropriate and ready for peer review:

• Technical check.   Performed by a technical editor to ensure that the submission has been properly completed and is ready for further assessment. Blurry figures, missing ethical statements, and incomplete author affiliations are common issues that are addressed at this initial stage. Typically, there are three technical checks: upon initial submission, alongside the first decision letter, and upon acceptance. 
• Editorial screening . Once a paper passes the first check, an editor with subject expertise assesses the paper and determines whether it is within the journal’s scope and if it could potentially meet the required publication criteria. While there may be requests for further information and minor edits from the author as needed, the paper will either be desk rejected by the editor or allowed to proceed to peer review. 

Both editors at this point will additionally make notes for items to be followed-up on at later stages. The publication process involves finding a careful balance for when each check occurs. Early checks need to be thorough so that editors with relevant expertise can focus on the scientific content and more advanced reporting standards, but no one wants to be asked to reformat references only to have their paper desk rejected a few days later. 

Peer Review

Estimated time: 1 month.

Depending on the journal’s editorial structure, the editor who performed the initial assessment may also oversee peer review or another editor with more specific expertise may be assigned.  Regardless of the journal’s specific process, the various roles and responsibilities during peer review include:  

When you have questions or are unsure who your manuscripts is currently with, reach out to the journal staff for help (eg. [email protected]). They will be your lifeline, connecting you to all the other contributors working to assess the manuscript. 

Whether an editor needs a reminder that all reviews are complete or a reviewer has asked for an extension, the journal acts as a central hub of communication for those involved with the publication process. As editors and reviewers are used to hearing from journal staff about their duties, any messages you send to the journal can be forwarded to them with proper context and instructions on how to proceed appropriately. Additionally, journal staff will be able to inform you of any delays, such as reviewer availability during summer and holiday periods. 

Revision Decision

Estimated time: 1 day.

Editors evaluate peer reviewer feedback and their own expert assessment of the manuscript to reach a decision. After your editor submits a decision on your manuscript, the journal may review it before formally processing the decision and sending it on to you. 

A technical editor may scan the manuscript and the review comments to ensure that journal standards have been followed. At this stage, the technical editor will also add requests to ensure the paper, if published, will adhere to journal requirements for data sharing, copyright, ethical reporting and the like. 

Performing the second technical check at this stage and adding the journal requirements to the decision letter ultimately saves time by allowing authors to resolve the journal’s queries while making revisions based on comments from the reviewers. 

Revised Submission Received

Estimated time: 3 days.

Upon receiving your revised submission, a technical editor will assess the revisions to confirm that the requests from the journal have been properly addressed. Before the paper is returned to the editor for their consideration, the journal needs to be confident that the paper won’t have any issues related to the metadata and reporting standards that could prevent publication. The editor may contact you to resolve any serious issues, though minor items can wait until the paper is accepted.

Subsequent Peer Review

Estimated time: 2 weeks, highly variable.

When your resubmitted paper has passed the required checks, it’ll be assigned back to the same editor who handled it during the first round of peer review. At this point, your paper has gone through two sets of journal checks and one round of peer review. If all has gone well so far, the paper should feel quite solid both in terms of scientific content and proper reporting standards. 

When the editor receives your revised paper, they are asked to check if all reviewer comments have been adequately addressed and if the paper now adheres to the journal’s publication criteria. Depending on the situation, some editors may feel confident making this decision based on their own expertise while others may re-invite the previous reviewers for their opinions. 

Individual responsibilities are the same as the initial round of peer review, but it is generally expected that later stages of peer review proceed quicker unless new concerns have been introduced as part of the revision. 

Preliminary Acceptance

Estimated time: 1 week.

Your editor is satisfied with the scientific quality of your work and has chosen to accept it in principle. Before it can proceed to production and typesetting, the journal office will perform it’s third and final technical check, requesting any formatting changes or additional details that may be required. 

When fulfilling these final journal requests, double check the final files to confirm all information is correct. If you need to make changes beyond those specifically required in the decision letter, inform the journal and explain why you made the unrequested changes. Any change that could affect the scientific meaning of the work will need to be approved by the handling editor. While including your rationale for the changes will help avoid delays, if there are extensive changes made at this point the paper may need to go through another round of formal review.

Formal Acceptance and Publication

Estimated time: 2 weeks.

After a technical editor has confirmed that all requests from the provisional acceptance letter have been addressed, you will receive your formal acceptance letter. This letter indicates that your paper is being passed from the Editorial department to the production department—that all information has been editorially approved. The scientific content has been approved through peer review, and the journal’s publication requirements have been met. 

Congratulations to you and your co-authors! Your article will be available as soon as the journal transforms the submission into a typeset, consistently structured scientific manuscript, ready to be read and cited by your peers.

The contents of the Peer Review Center are also available as a live, interactive training session, complete with slides, talking points, and activities. …

The contents of the Writing Center are also available as a live, interactive training session, complete with slides, talking points, and activities. …

There’s a lot to consider when deciding where to submit your work. Learn how to choose a journal that will help your study reach its audience, while reflecting your values as a researcher…

How to Write and Publish a Research Paper for a Peer-Reviewed Journal

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• Published: 30 April 2020
• Volume 36 , pages 909–913, ( 2021 )

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• Ella August   ORCID: orcid.org/0000-0001-5151-1036 1 , 2  

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Communicating research findings is an essential step in the research process. Often, peer-reviewed journals are the forum for such communication, yet many researchers are never taught how to write a publishable scientific paper. In this article, we explain the basic structure of a scientific paper and describe the information that should be included in each section. We also identify common pitfalls for each section and recommend strategies to avoid them. Further, we give advice about target journal selection and authorship. In the online resource 1 , we provide an example of a high-quality scientific paper, with annotations identifying the elements we describe in this article.

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How to Choose the Right Journal

The Point Is…to Publish?

Some Opinions on the Review Process of Research Papers Destined for Publication

Ehsan Roohi & Omid Mahian

Avoid common mistakes on your manuscript.

Introduction

Writing a scientific paper is an important component of the research process, yet researchers often receive little formal training in scientific writing. This is especially true in low-resource settings. In this article, we explain why choosing a target journal is important, give advice about authorship, provide a basic structure for writing each section of a scientific paper, and describe common pitfalls and recommendations for each section. In the online resource 1 , we also include an annotated journal article that identifies the key elements and writing approaches that we detail here. Before you begin your research, make sure you have ethical clearance from all relevant ethical review boards.

Select a Target Journal Early in the Writing Process

We recommend that you select a “target journal” early in the writing process; a “target journal” is the journal to which you plan to submit your paper. Each journal has a set of core readers and you should tailor your writing to this readership. For example, if you plan to submit a manuscript about vaping during pregnancy to a pregnancy-focused journal, you will need to explain what vaping is because readers of this journal may not have a background in this topic. However, if you were to submit that same article to a tobacco journal, you would not need to provide as much background information about vaping.

Information about a journal’s core readership can be found on its website, usually in a section called “About this journal” or something similar. For example, the Journal of Cancer Education presents such information on the “Aims and Scope” page of its website, which can be found here: https://www.springer.com/journal/13187/aims-and-scope .

Peer reviewer guidelines from your target journal are an additional resource that can help you tailor your writing to the journal and provide additional advice about crafting an effective article [ 1 ]. These are not always available, but it is worth a quick web search to find out.

Identify Author Roles Early in the Process

Early in the writing process, identify authors, determine the order of authors, and discuss the responsibilities of each author. Standard author responsibilities have been identified by The International Committee of Medical Journal Editors (ICMJE) [ 2 ]. To set clear expectations about each team member’s responsibilities and prevent errors in communication, we also suggest outlining more detailed roles, such as who will draft each section of the manuscript, write the abstract, submit the paper electronically, serve as corresponding author, and write the cover letter. It is best to formalize this agreement in writing after discussing it, circulating the document to the author team for approval. We suggest creating a title page on which all authors are listed in the agreed-upon order. It may be necessary to adjust authorship roles and order during the development of the paper. If a new author order is agreed upon, be sure to update the title page in the manuscript draft.

In the case where multiple papers will result from a single study, authors should discuss who will author each paper. Additionally, authors should agree on a deadline for each paper and the lead author should take responsibility for producing an initial draft by this deadline.

Structure of the Introduction Section

The introduction section should be approximately three to five paragraphs in length. Look at examples from your target journal to decide the appropriate length. This section should include the elements shown in Fig.  1 . Begin with a general context, narrowing to the specific focus of the paper. Include five main elements: why your research is important, what is already known about the topic, the “gap” or what is not yet known about the topic, why it is important to learn the new information that your research adds, and the specific research aim(s) that your paper addresses. Your research aim should address the gap you identified. Be sure to add enough background information to enable readers to understand your study. Table 1 provides common introduction section pitfalls and recommendations for addressing them.

The main elements of the introduction section of an original research article. Often, the elements overlap

Methods Section

The purpose of the methods section is twofold: to explain how the study was done in enough detail to enable its replication and to provide enough contextual detail to enable readers to understand and interpret the results. In general, the essential elements of a methods section are the following: a description of the setting and participants, the study design and timing, the recruitment and sampling, the data collection process, the dataset, the dependent and independent variables, the covariates, the analytic approach for each research objective, and the ethical approval. The hallmark of an exemplary methods section is the justification of why each method was used. Table 2 provides common methods section pitfalls and recommendations for addressing them.

Results Section

The focus of the results section should be associations, or lack thereof, rather than statistical tests. Two considerations should guide your writing here. First, the results should present answers to each part of the research aim. Second, return to the methods section to ensure that the analysis and variables for each result have been explained.

Begin the results section by describing the number of participants in the final sample and details such as the number who were approached to participate, the proportion who were eligible and who enrolled, and the number of participants who dropped out. The next part of the results should describe the participant characteristics. After that, you may organize your results by the aim or by putting the most exciting results first. Do not forget to report your non-significant associations. These are still findings.

Tables and figures capture the reader’s attention and efficiently communicate your main findings [ 3 ]. Each table and figure should have a clear message and should complement, rather than repeat, the text. Tables and figures should communicate all salient details necessary for a reader to understand the findings without consulting the text. Include information on comparisons and tests, as well as information about the sample and timing of the study in the title, legend, or in a footnote. Note that figures are often more visually interesting than tables, so if it is feasible to make a figure, make a figure. To avoid confusing the reader, either avoid abbreviations in tables and figures, or define them in a footnote. Note that there should not be citations in the results section and you should not interpret results here. Table 3 provides common results section pitfalls and recommendations for addressing them.

Discussion Section

Opposite the introduction section, the discussion should take the form of a right-side-up triangle beginning with interpretation of your results and moving to general implications (Fig.  2 ). This section typically begins with a restatement of the main findings, which can usually be accomplished with a few carefully-crafted sentences.

Major elements of the discussion section of an original research article. Often, the elements overlap

Next, interpret the meaning or explain the significance of your results, lifting the reader’s gaze from the study’s specific findings to more general applications. Then, compare these study findings with other research. Are these findings in agreement or disagreement with those from other studies? Does this study impart additional nuance to well-accepted theories? Situate your findings within the broader context of scientific literature, then explain the pathways or mechanisms that might give rise to, or explain, the results.

Journals vary in their approach to strengths and limitations sections: some are embedded paragraphs within the discussion section, while some mandate separate section headings. Keep in mind that every study has strengths and limitations. Candidly reporting yours helps readers to correctly interpret your research findings.

The next element of the discussion is a summary of the potential impacts and applications of the research. Should these results be used to optimally design an intervention? Does the work have implications for clinical protocols or public policy? These considerations will help the reader to further grasp the possible impacts of the presented work.

Finally, the discussion should conclude with specific suggestions for future work. Here, you have an opportunity to illuminate specific gaps in the literature that compel further study. Avoid the phrase “future research is necessary” because the recommendation is too general to be helpful to readers. Instead, provide substantive and specific recommendations for future studies. Table 4 provides common discussion section pitfalls and recommendations for addressing them.

Follow the Journal’s Author Guidelines

After you select a target journal, identify the journal’s author guidelines to guide the formatting of your manuscript and references. Author guidelines will often (but not always) include instructions for titles, cover letters, and other components of a manuscript submission. Read the guidelines carefully. If you do not follow the guidelines, your article will be sent back to you.

Finally, do not submit your paper to more than one journal at a time. Even if this is not explicitly stated in the author guidelines of your target journal, it is considered inappropriate and unprofessional.

Your title should invite readers to continue reading beyond the first page [ 4 , 5 ]. It should be informative and interesting. Consider describing the independent and dependent variables, the population and setting, the study design, the timing, and even the main result in your title. Because the focus of the paper can change as you write and revise, we recommend you wait until you have finished writing your paper before composing the title.

Be sure that the title is useful for potential readers searching for your topic. The keywords you select should complement those in your title to maximize the likelihood that a researcher will find your paper through a database search. Avoid using abbreviations in your title unless they are very well known, such as SNP, because it is more likely that someone will use a complete word rather than an abbreviation as a search term to help readers find your paper.

After you have written a complete draft, use the checklist (Fig. 3 ) below to guide your revisions and editing. Additional resources are available on writing the abstract and citing references [ 5 ]. When you feel that your work is ready, ask a trusted colleague or two to read the work and provide informal feedback. The box below provides a checklist that summarizes the key points offered in this article.

Checklist for manuscript quality

Data Availability

Michalek AM (2014) Down the rabbit hole…advice to reviewers. J Cancer Educ 29:4–5

Article   Google Scholar  

International Committee of Medical Journal Editors. Defining the role of authors and contributors: who is an author? http://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authosrs-and-contributors.html . Accessed 15 January, 2020

Vetto JT (2014) Short and sweet: a short course on concise medical writing. J Cancer Educ 29(1):194–195

Brett M, Kording K (2017) Ten simple rules for structuring papers. PLoS ComputBiol. https://doi.org/10.1371/journal.pcbi.1005619

Lang TA (2017) Writing a better research article. J Public Health Emerg. https://doi.org/10.21037/jphe.2017.11.06

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Acknowledgments

Ella August is grateful to the Sustainable Sciences Institute for mentoring her in training researchers on writing and publishing their research.

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Busse, C., August, E. How to Write and Publish a Research Paper for a Peer-Reviewed Journal. J Canc Educ 36 , 909–913 (2021). https://doi.org/10.1007/s13187-020-01751-z

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How to Write and Publish a Research Paper in 7 Steps

What comes next after you're done with your research? Publishing the results in a journal of course! We tell you how to present your work in the best way possible.

This post is part of a series, which serves to provide hands-on information and resources for authors and editors.

Things have gotten busy in scholarly publishing: These days, a new article gets published in the 50,000 most important peer-reviewed journals every few seconds, while each one takes on average 40 minutes to read. Hundreds of thousands of papers reach the desks of editors and reviewers worldwide each year and 50% of all submissions end up rejected at some stage.

In a nutshell: there is a lot of competition, and the people who decide upon the fate of your manuscript are short on time and overworked. But there are ways to make their lives a little easier and improve your own chances of getting your work published!

Well, it may seem obvious, but before submitting an academic paper, always make sure that it is an excellent reflection of the research you have done and that you present it in the most professional way possible. Incomplete or poorly presented manuscripts can create a great deal of frustration and annoyance for editors who probably won’t even bother wasting the time of the reviewers!

This post will discuss 7 steps to the successful publication of your research paper:

• Check whether your research is publication-ready
• Choose an article type
• Choose a journal
• Construct your paper
• Decide the order of authors
• Check and double-check
• Submit your paper

1. Check Whether Your Research Is Publication-Ready

Should you publish your research at all?

If your work holds academic value – of course – a well-written scholarly article could open doors to your research community. However, if you are not yet sure, whether your research is ready for publication, here are some key questions to ask yourself depending on your field of expertise:

• Have you done or found something new and interesting? Something unique?
• Is the work directly related to a current hot topic?
• Have you checked the latest results or research in the field?
• Have you provided solutions to any difficult problems?
• Have the findings been verified?
• Have the appropriate controls been performed if required?
• Are your findings comprehensive?

If the answers to all relevant questions are “yes”, you need to prepare a good, strong manuscript. Remember, a research paper is only useful if it is clearly understood, reproducible and if it is read and used .

2. Choose An Article Type

The first step is to determine which type of paper is most appropriate for your work and what you want to achieve. The following list contains the most important, usually peer-reviewed article types in the natural sciences:

Full original research papers disseminate completed research findings. On average this type of paper is 8-10 pages long, contains five figures, and 25-30 references. Full original research papers are an important part of the process when developing your career.

Review papers present a critical synthesis of a specific research topic. These papers are usually much longer than original papers and will contain numerous references. More often than not, they will be commissioned by journal editors. Reviews present an excellent way to solidify your research career.

Letters, Rapid or Short Communications are often published for the quick and early communication of significant and original advances. They are much shorter than full articles and usually limited in length by the journal. Journals specifically dedicated to short communications or letters are also published in some fields. In these the authors can present short preliminary findings before developing a full-length paper.

3. Choose a Journal

Are you looking for the right place to publish your paper? Find out here whether a De Gruyter journal might be the right fit.

Submit to journals that you already read, that you have a good feel for. If you do so, you will have a better appreciation of both its culture and the requirements of the editors and reviewers.

Other factors to consider are:

• The specific subject area
• The aims and scope of the journal
• The type of manuscript you have written
• The significance of your work
• The reputation of the journal
• The reputation of the editors within the community
• The editorial/review and production speeds of the journal
• The community served by the journal
• The coverage and distribution
• The accessibility ( open access vs. closed access)

4. Construct Your Paper

Each element of a paper has its purpose, so you should make these sections easy to index and search.

Don’t forget that requirements can differ highly per publication, so always make sure to apply a journal’s specific instructions – or guide – for authors to your manuscript, even to the first draft (text layout, paper citation, nomenclature, figures and table, etc.) It will save you time, and the editor’s.

Also, even in these days of Internet-based publishing, space is still at a premium, so be as concise as possible. As a good journalist would say: “Never use three words when one will do!”

Let’s look at the typical structure of a full research paper, but bear in mind certain subject disciplines may have their own specific requirements so check the instructions for authors on the journal’s home page.

4.1 The Title

It’s important to use the title to tell the reader what your paper is all about! You want to attract their attention, a bit like a newspaper headline does. Be specific and to the point. Keep it informative and concise, and avoid jargon and abbreviations (unless they are universally recognized like DNA, for example).

4.2 The Abstract

This could be termed as the “advertisement” for your article. Make it interesting and easily understood without the reader having to read the whole article. Be accurate and specific, and keep it as brief and concise as possible. Some journals (particularly in the medical fields) will ask you to structure the abstract in distinct, labeled sections, which makes it even more accessible.

A clear abstract will influence whether or not your work is considered and whether an editor should invest more time on it or send it for review.

4.3 Keywords

Keywords are used by abstracting and indexing services, such as PubMed and Web of Science. They are the labels of your manuscript, which make it “searchable” online by other researchers.

Include words or phrases (usually 4-8) that are closely related to your topic but not “too niche” for anyone to find them. Make sure to only use established abbreviations. Think about what scientific terms and its variations your potential readers are likely to use and search for. You can also do a test run of your selected keywords in one of the common academic search engines. Do similar articles to your own appear? Yes? Then that’s a good sign.

4.4 Introduction

This first part of the main text should introduce the problem, as well as any existing solutions you are aware of and the main limitations. Also, state what you hope to achieve with your research.

Do not confuse the introduction with the results, discussion or conclusion.

4.5 Methods

Every research article should include a detailed Methods section (also referred to as “Materials and Methods”) to provide the reader with enough information to be able to judge whether the study is valid and reproducible.

Include detailed information so that a knowledgeable reader can reproduce the experiment. However, use references and supplementary materials to indicate previously published procedures.

4.6 Results

In this section, you will present the essential or primary results of your study. To display them in a comprehensible way, you should use subheadings as well as illustrations such as figures, graphs, tables and photos, as appropriate.

4.7 Discussion

Here you should tell your readers what the results mean .

Do state how the results relate to the study’s aims and hypotheses and how the findings relate to those of other studies. Explain all possible interpretations of your findings and the study’s limitations.

Do not make “grand statements” that are not supported by the data. Also, do not introduce any new results or terms. Moreover, do not ignore work that conflicts or disagrees with your findings. Instead …

Be brave! Address conflicting study results and convince the reader you are the one who is correct.

4.8 Conclusion

Your conclusion isn’t just a summary of what you’ve already written. It should take your paper one step further and answer any unresolved questions.

Sum up what you have shown in your study and indicate possible applications and extensions. The main question your conclusion should answer is: What do my results mean for the research field and my community?

4.9 Acknowledgments and Ethical Statements

It is extremely important to acknowledge anyone who has helped you with your paper, including researchers who supplied materials or reagents (e.g. vectors or antibodies); and anyone who helped with the writing or English, or offered critical comments about the content.

Learn more about academic integrity in our blog post “Scholarly Publication Ethics: 4 Common Mistakes You Want To Avoid” .

Remember to state why people have been acknowledged and ask their permission . Ensure that you acknowledge sources of funding, including any grant or reference numbers.

Furthermore, if you have worked with animals or humans, you need to include information about the ethical approval of your study and, if applicable, whether informed consent was given. Also, state whether you have any competing interests regarding the study (e.g. because of financial or personal relationships.)

4.10 References

The end is in sight, but don’t relax just yet!

De facto, there are often more mistakes in the references than in any other part of the manuscript. It is also one of the most annoying and time-consuming problems for editors.

Remember to cite the main scientific publications on which your work is based. But do not inflate the manuscript with too many references. Avoid excessive – and especially unnecessary – self-citations. Also, avoid excessive citations of publications from the same institute or region.

5. Decide the Order of Authors

In the sciences, the most common way to order the names of the authors is by relative contribution.

Generally, the first author conducts and/or supervises the data analysis and the proper presentation and interpretation of the results. They put the paper together and usually submit the paper to the journal.

Co-authors make intellectual contributions to the data analysis and contribute to data interpretation. They review each paper draft. All of them must be able to present the paper and its results, as well as to defend the implications and discuss study limitations.

Do not leave out authors who should be included or add “gift authors”, i.e. authors who did not contribute significantly.

6. Check and Double-Check

As a final step before submission, ask colleagues to read your work and be constructively critical .

Make sure that the paper is appropriate for the journal – take a last look at their aims and scope. Check if all of the requirements in the instructions for authors are met.

Ensure that the cited literature is balanced. Are the aims, purpose and significance of the results clear?

Conduct a final check for language, either by a native English speaker or an editing service.

7. Submit Your Paper

When you and your co-authors have double-, triple-, quadruple-checked the manuscript: submit it via e-mail or online submission system. Along with your manuscript, submit a cover letter, which highlights the reasons why your paper would appeal to the journal and which ensures that you have received approval of all authors for submission.

It is up to the editors and the peer-reviewers now to provide you with their (ideally constructive and helpful) comments and feedback. Time to take a breather!

If the paper gets rejected, do not despair – it happens to literally everybody. If the journal suggests major or minor revisions, take the chance to provide a thorough response and make improvements as you see fit. If the paper gets accepted, congrats!

It’s now time to get writing and share your hard work – good luck!

If you are interested, check out this related blog post

[Title Image by Nick Morrison via Unsplash]

David Sleeman

David Sleeman worked as Senior Journals Manager in the field of Physical Sciences at De Gruyter.

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How to Write a Research Paper | A Beginner's Guide

A research paper is a piece of academic writing that provides analysis, interpretation, and argument based on in-depth independent research.

Research papers are similar to academic essays , but they are usually longer and more detailed assignments, designed to assess not only your writing skills but also your skills in scholarly research. Writing a research paper requires you to demonstrate a strong knowledge of your topic, engage with a variety of sources, and make an original contribution to the debate.

This step-by-step guide takes you through the entire writing process, from understanding your assignment to proofreading your final draft.

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Table of contents

Understand the assignment, choose a research paper topic, conduct preliminary research, develop a thesis statement, create a research paper outline, write a first draft of the research paper, write the introduction, write a compelling body of text, write the conclusion, the second draft, the revision process, research paper checklist, free lecture slides.

Completing a research paper successfully means accomplishing the specific tasks set out for you. Before you start, make sure you thoroughly understanding the assignment task sheet:

• Read it carefully, looking for anything confusing you might need to clarify with your professor.
• Identify the assignment goal, deadline, length specifications, formatting, and submission method.
• Make a bulleted list of the key points, then go back and cross completed items off as you’re writing.

Carefully consider your timeframe and word limit: be realistic, and plan enough time to research, write, and edit.

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There are many ways to generate an idea for a research paper, from brainstorming with pen and paper to talking it through with a fellow student or professor.

You can try free writing, which involves taking a broad topic and writing continuously for two or three minutes to identify absolutely anything relevant that could be interesting.

You can also gain inspiration from other research. The discussion or recommendations sections of research papers often include ideas for other specific topics that require further examination.

Once you have a broad subject area, narrow it down to choose a topic that interests you, m eets the criteria of your assignment, and i s possible to research. Aim for ideas that are both original and specific:

• A paper following the chronology of World War II would not be original or specific enough.
• A paper on the experience of Danish citizens living close to the German border during World War II would be specific and could be original enough.

Note any discussions that seem important to the topic, and try to find an issue that you can focus your paper around. Use a variety of sources , including journals, books, and reliable websites, to ensure you do not miss anything glaring.

Do not only verify the ideas you have in mind, but look for sources that contradict your point of view.

• Is there anything people seem to overlook in the sources you research?
• Are there any heated debates you can address?
• Do you have a unique take on your topic?
• Have there been some recent developments that build on the extant research?

In this stage, you might find it helpful to formulate some research questions to help guide you. To write research questions, try to finish the following sentence: “I want to know how/what/why…”

A thesis statement is a statement of your central argument — it establishes the purpose and position of your paper. If you started with a research question, the thesis statement should answer it. It should also show what evidence and reasoning you’ll use to support that answer.

The thesis statement should be concise, contentious, and coherent. That means it should briefly summarize your argument in a sentence or two, make a claim that requires further evidence or analysis, and make a coherent point that relates to every part of the paper.

You will probably revise and refine the thesis statement as you do more research, but it can serve as a guide throughout the writing process. Every paragraph should aim to support and develop this central claim.

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• Missing commas and periods
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A research paper outline is essentially a list of the key topics, arguments, and evidence you want to include, divided into sections with headings so that you know roughly what the paper will look like before you start writing.

A structure outline can help make the writing process much more efficient, so it’s worth dedicating some time to create one.

Your first draft won’t be perfect — you can polish later on. Your priorities at this stage are as follows:

• Maintaining forward momentum — write now, perfect later.
• Paying attention to clear organization and logical ordering of paragraphs and sentences, which will help when you come to the second draft.
• Expressing your ideas as clearly as possible, so you know what you were trying to say when you come back to the text.

You do not need to start by writing the introduction. Begin where it feels most natural for you — some prefer to finish the most difficult sections first, while others choose to start with the easiest part. If you created an outline, use it as a map while you work.

Do not delete large sections of text. If you begin to dislike something you have written or find it doesn’t quite fit, move it to a different document, but don’t lose it completely — you never know if it might come in useful later.

Paragraph structure

Paragraphs are the basic building blocks of research papers. Each one should focus on a single claim or idea that helps to establish the overall argument or purpose of the paper.

Example paragraph

George Orwell’s 1946 essay “Politics and the English Language” has had an enduring impact on thought about the relationship between politics and language. This impact is particularly obvious in light of the various critical review articles that have recently referenced the essay. For example, consider Mark Falcoff’s 2009 article in The National Review Online, “The Perversion of Language; or, Orwell Revisited,” in which he analyzes several common words (“activist,” “civil-rights leader,” “diversity,” and more). Falcoff’s close analysis of the ambiguity built into political language intentionally mirrors Orwell’s own point-by-point analysis of the political language of his day. Even 63 years after its publication, Orwell’s essay is emulated by contemporary thinkers.

Citing sources

It’s also important to keep track of citations at this stage to avoid accidental plagiarism . Each time you use a source, make sure to take note of where the information came from.

You can use our free citation generators to automatically create citations and save your reference list as you go.

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The research paper introduction should address three questions: What, why, and how? After finishing the introduction, the reader should know what the paper is about, why it is worth reading, and how you’ll build your arguments.

What? Be specific about the topic of the paper, introduce the background, and define key terms or concepts.

Why? This is the most important, but also the most difficult, part of the introduction. Try to provide brief answers to the following questions: What new material or insight are you offering? What important issues does your essay help define or answer?

How? To let the reader know what to expect from the rest of the paper, the introduction should include a “map” of what will be discussed, briefly presenting the key elements of the paper in chronological order.

The major struggle faced by most writers is how to organize the information presented in the paper, which is one reason an outline is so useful. However, remember that the outline is only a guide and, when writing, you can be flexible with the order in which the information and arguments are presented.

One way to stay on track is to use your thesis statement and topic sentences . Check:

• topic sentences against the thesis statement;
• topic sentences against each other, for similarities and logical ordering;
• and each sentence against the topic sentence of that paragraph.

Be aware of paragraphs that seem to cover the same things. If two paragraphs discuss something similar, they must approach that topic in different ways. Aim to create smooth transitions between sentences, paragraphs, and sections.

The research paper conclusion is designed to help your reader out of the paper’s argument, giving them a sense of finality.

Trace the course of the paper, emphasizing how it all comes together to prove your thesis statement. Give the paper a sense of finality by making sure the reader understands how you’ve settled the issues raised in the introduction.

You might also discuss the more general consequences of the argument, outline what the paper offers to future students of the topic, and suggest any questions the paper’s argument raises but cannot or does not try to answer.

You should not :

• Offer new arguments or essential information
• Take up any more space than necessary
• Begin with stock phrases that signal you are ending the paper (e.g. “In conclusion”)

There are four main considerations when it comes to the second draft.

• Check how your vision of the paper lines up with the first draft and, more importantly, that your paper still answers the assignment.
• Identify any assumptions that might require (more substantial) justification, keeping your reader’s perspective foremost in mind. Remove these points if you cannot substantiate them further.
• Be open to rearranging your ideas. Check whether any sections feel out of place and whether your ideas could be better organized.
• If you find that old ideas do not fit as well as you anticipated, you should cut them out or condense them. You might also find that new and well-suited ideas occurred to you during the writing of the first draft — now is the time to make them part of the paper.

The goal during the revision and proofreading process is to ensure you have completed all the necessary tasks and that the paper is as well-articulated as possible. You can speed up the proofreading process by using the AI proofreader .

Global concerns

• Confirm that your paper completes every task specified in your assignment sheet.
• Check for logical organization and flow of paragraphs.
• Check paragraphs against the introduction and thesis statement.

Fine-grained details

Check the content of each paragraph, making sure that:

• each sentence helps support the topic sentence.
• no unnecessary or irrelevant information is present.
• all technical terms your audience might not know are identified.

Next, think about sentence structure , grammatical errors, and formatting . Check that you have correctly used transition words and phrases to show the connections between your ideas. Look for typos, cut unnecessary words, and check for consistency in aspects such as heading formatting and spellings .

Finally, you need to make sure your paper is correctly formatted according to the rules of the citation style you are using. For example, you might need to include an MLA heading  or create an APA title page .

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Checklist: Research paper

I have followed all instructions in the assignment sheet.

My introduction presents my topic in an engaging way and provides necessary background information.

My introduction presents a clear, focused research problem and/or thesis statement .

My paper is logically organized using paragraphs and (if relevant) section headings .

Each paragraph is clearly focused on one central idea, expressed in a clear topic sentence .

Each paragraph is relevant to my research problem or thesis statement.

I have used appropriate transitions  to clarify the connections between sections, paragraphs, and sentences.

My conclusion provides a concise answer to the research question or emphasizes how the thesis has been supported.

My conclusion shows how my research has contributed to knowledge or understanding of my topic.

My conclusion does not present any new points or information essential to my argument.

I have provided an in-text citation every time I refer to ideas or information from a source.

I have included a reference list at the end of my paper, consistently formatted according to a specific citation style .

I have thoroughly revised my paper and addressed any feedback from my professor or supervisor.

I have followed all formatting guidelines (page numbers, headers, spacing, etc.).

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• How to Publish a Research Paper: A Complete Guide
• Self Publishing Guide

Publishing a research paper in a reputable journal is a significant achievement for any academic researcher. It not only showcases your expertise in a particular field but also contributes valuable insights to the scientific community. However, the process of publication can be daunting, especially for early-career researchers. In this comprehensive guide, we will walk you through the essential steps on how to publish a research paper successfully. From selecting the right journal to addressing reviewer feedback, we have you covered!

Read:  Learn How to Write & Craft a Compelling Villain for Your Story.

Here’s a list of steps to keep in mind before publishing a research paper :

• Step 1: Identifying the Right Journal
• Step 2: Preparing Step 3: Your Manuscript

Step 3: Conducting a Thorough Review

Step 4: Writing a Compelling Cover Letter

Step 5: Navigating the Peer Review Process

Step 6: Handling Rejections

Step 7: Preparing for Publication

Step 8: Promoting Your Published Paper

Step 1: Identifying the Right Journal 

The first step in publishing a research paper is crucial, as it sets the foundation for the entire publication process. Identifying the right journal involves carefully selecting a publication platform that aligns with your research topic, audience, and academic goals. Here are the key considerations to keep in mind during this step:

• Scope and Focus : Assess the scope and focus of your research to find journals that publish articles in your field of study. Look for journals that have previously published papers related to your topic or research area.
• Readership and Impact Factor : Consider the target audience of the journal and its readership. Higher-impact factor journals typically attract a broader readership and can enhance the visibility and credibility of your research.
• Publication Frequency : Investigate the publication frequency of the journal. Some journals publish issues monthly, quarterly, or annually. Choose a journal that aligns with your timeline for publication.
• Indexing and Reputation : Check if the journal is indexed in reputable databases, such as Scopus or PubMed. Indexed journals are more likely to be recognized and accessed by researchers worldwide.
• Journal Guidelines : Familiarise yourself with the journal’s submission guidelines, available on their website. Pay attention to manuscript length limits, reference styles, and formatting requirements.
• Open Access Options : Consider whether the journal offers open access publishing. Open-access journals allow unrestricted access to your paper, potentially increasing its visibility and impact.
• Ethical Considerations : Ensure the journal follows ethical publication practises and abides by industry standards. Verify if the journal is a member of reputable publishing organisations, such as COPE (the Committee on Publication Ethics).
• Publication Fees : Check if the journal charges any publication fees or article processing charges (APCs). These fees can vary significantly among journals and may influence your decision.
• Target Audience : Consider the journal’s target audience and the level of technical detail appropriate for that audience. Some journals cater to a more specialised readership, while others aim for a broader appeal.
• Journal Reputation : Research the reputation of the journal within your academic community. Seek advice from colleagues or mentors who have published in similar journals.

By carefully considering these factors, you can make an informed decision on the most suitable journal for your research paper. Selecting the right journal increases your chances of acceptance and ensures that your work reaches the intended audience, contributing to the advancement of knowledge in your field.

Step 2: Preparing Your Manuscript

After identifying the appropriate journal, the next step is to prepare your manuscript for submission. This stage involves meticulous attention to detail and adherence to the journal’s specific author guidelines. Here’s a comprehensive guide to preparing your manuscript:

• Read Author Guidelines : Carefully read and understand the journal’s author guidelines, which are available on the journal’s website. The guidelines provide instructions on manuscript preparation, the submission process, and formatting requirements.
• Manuscript Structure : Follow the standard structure for a research paper, including the abstract, introduction, methodology, results, discussion, and conclusion sections. Ensure that each section is clear and well-organised.
• Title and Abstract : Craft a concise and informative title that reflects the main focus of your research. The abstract should provide a summary of your study’s objectives, methods, results, and conclusions.
• Introduction : The introduction should introduce the research problem, provide context, and state the research objectives or questions. Engage readers by highlighting the significance of your research.
• Methodology : Describe the research design, data collection methods, and data analysis techniques used in your study. Provide sufficient detail to enable other researchers to replicate your study.
• Results : Present your findings in a clear and logical manner. Use tables, graphs, and figures to enhance the presentation of data. Avoid interpreting the results in this section.
• Discussion : Analyse and interpret your results in the discussion section. Relate your findings to the research objectives and previously published literature. Discuss the implications of your results and any limitations of your study.
• Conclusion : In the conclusion, summarise the key findings of your research and restate their significance. Avoid introducing new information in this section.
• Citations and References : Cite all sources accurately and consistently throughout the manuscript. Follow the journal’s preferred citation style, such as APA, MLA, or Chicago.
• Proofreading and Editing : Thoroughly proofread your manuscript to correct any grammatical errors, typos, or inconsistencies. Edit for clarity, conciseness, and logical flow.
• Figures and Tables : Ensure that all figures and tables are clear, properly labelled, and cited in the main text. Follow the journal’s guidelines for the formatting of figures and tables.
• Ethical Considerations : Include any necessary statements regarding ethical approval, conflicts of interest, or data availability, as required by the journal.

By meticulously preparing your manuscript and adhering to the journal’s guidelines, you increase the likelihood of a successful submission. A well-structured and polished manuscript enhances the readability and impact of your research, ultimately increasing your chances of acceptance for publication.

The process of conducting a thorough review of your research paper is a critical step in the publication journey. This step ensures that your work is polished, accurate, and ready for submission to a journal. A well-reviewed paper increases the chances of acceptance and demonstrates your commitment to producing high-quality research. Here are the key aspects to consider during the review process:

• Grammatical Errors and Typos : Start by carefully proofreading your paper for any grammatical errors, typos, or spelling mistakes. Even minor errors can undermine the credibility of your research and distract readers from your main points. Use grammar-checking tools, but also read your paper line by line to catch any issues that zated tools might miss.
• Consistency and Clarity : Ensure that your writing is consistent throughout the paper. Check that you have used the same terminology, abbreviations, and formatting consistently. Additionally, pay attention to sentence structure and coherence, making sure that each paragraph flows logically into the next.
• Accuracy of Data, Graphs, and Tables : Review all the data presented in your research, including figures, graphs, and tables. Verify that the data is accurate, correctly labelled, and represented in a clear and understandable manner. Any errors in data representation can lead to misinterpretations and undermine the reliability of your findings.
• Citation and Referencing : Verify that all the sources you have cited are accurate and properly formatted according to the citation style required by the target journal. Missing or incorrect citations can lead to accusations of plagiarism and harm the integrity of your work.
• Addressing Feedback : If you have received feedback from colleagues, mentors, or peer reviewers during the pre-submission process, carefully consider their suggestions and address any concerns raised. Engaging with feedback shows your willingness to improve and strengthen your paper.
• Objective Evaluation : Try to read your paper with a critical eye, as if you were a reviewer assessing its merits. Identify any weaknesses or areas that could be improved, both in terms of content and presentation. Be open to rewriting or restructuring sections that could benefit from further clarity or depth.
• Seek Feedback : To ensure the highest quality, seek feedback from colleagues or mentors who are knowledgeable in your research field. They can provide valuable insights and offer suggestions for improvement. Peer review can identify blind spots and help you refine your arguments.
• Formatting and Guidelines : Review the journal’s specific formatting and submission guidelines. Adhering to these requirements demonstrates your attention to detail and increases the likelihood of acceptance.

In conclusion, conducting a thorough review of your research paper is an essential step before submission. It involves checking for grammatical errors, ensuring clarity and consistency, verifying data accuracy, addressing feedback, and seeking external input. A well-reviewed paper enhances its chances of publication and contributes to the overall credibility of your research.

The cover letter is your opportunity to make a strong first impression on the journal’s editor and to persuade them that your research paper is a valuable contribution to their publication. It serves as a bridge between your work and the editor, highlighting the significance and originality of your study and explaining why it is a good fit for the journal. Here are the key elements to include in a compelling cover letter:

• Introduction : Start the letter with a professional and cordial greeting, addressing the editor by their name if possible. Introduce yourself and provide your affiliation, including your academic title and institution. Mention the title of your research paper and its co-authors, if any.
• Brief Summary of Research : Provide a concise and compelling summary of your research. Clearly state the research question or problem you addressed, the methodology you employed, and your main findings. Emphasise the significance of your research and its potential impact on the field.
• Highlight Originality : Explain what sets your study apart from existing research in the field. Highlight the original contributions your paper makes, whether it’s a novel approach, new insights, or addressing a gap in the literature. Demonstrating the novelty of your work will capture the editor’s attention.
• Fit with the Journal : Explain why your research is a good fit for the target journal. Refer to recent articles published in the journal that are related to your topic and discuss how your research complements or extends those works. Aligning your paper with the journal’s scope and objectives enhances your chances of acceptance.
• Addressing Specific Points : If the journal’s author guidelines include specific requirements, address them in your cover letter. This shows that you have read and followed their guidelines carefully. For example, if the journal requires you to highlight the practical implications of your research, briefly mention these in your letter.
• Previous Engagement : If you have presented your research at a conference, workshop, or seminar, or if it has been previously reviewed (e.g., as a preprint), mention it in the cover letter. This indicates that your work has already undergone some scrutiny and may strengthen its appeal to the journal.
• Declaration of Originality : State that the paper is original, has not been published elsewhere, and is not under simultaneous consideration by any other publication. This declaration reassures the editor that your work meets the journal’s submission policies.
• Contact Information : Provide your contact details, including email and phone number, and express your willingness to address any queries or provide additional information if needed.
• Expression of Gratitude : Thank the editor for their time and consideration in reviewing your submission.

In conclusion, a well-crafted cover letter complements your research paper and convinces the journal’s editor of the significance and originality of your work. It should provide a succinct overview of your research, highlight its relevance to the journal’s scope, and address any specific points raised in the author guidelines. A compelling cover letter increases the likelihood of your paper being seriously considered for publication.

The peer review process is a crucial step in scholarly publishing, designed to ensure the quality, accuracy, and validity of research papers before they are accepted for publication. After you submit your manuscript to a journal, it is sent to peer reviewers who are experts in your field. These reviewers carefully assess your work, providing feedback and recommendations to the editor. Navigating the peer review process requires patience, open-mindedness, and a willingness to engage constructively with reviewers. Here’s a detailed explanation of this step:

• Submission and Assignment : Once you submit your paper, the journal’s editorial team performs an initial screening to check if it aligns with the journal’s scope and guidelines. If it does, the editor assigns peer reviewers who have expertise in the subject matter of your research.
• Reviewing Process : The peer reviewers evaluate your paper’s methodology, data analysis, conclusions, and overall contribution to the field. They may assess the clarity of your writing, the strength of your arguments, and the relevance of your findings. Reviewers also look for potential flaws or limitations in your study.
• Reviewer Feedback : After the reviewers have thoroughly examined your paper, they provide feedback to the editor. The feedback usually falls into three categories: acceptance, revision, or rejection. In the case of a revision, reviewers may specify the changes they believe are necessary for the paper to meet the journal’s standards.
• Editor’s Decision : Based on the reviewers’ feedback, the editor makes a decision about your paper. The decision could be acceptance, conditional acceptance pending minor revisions, major revisions, or rejection. Even if your paper is rejected, remember that the peer review process provides valuable feedback that can help improve your research.
• Responding to Reviewer Comments : If your paper requires revisions, carefully read the reviewer comments and suggestions. Address each comment in a respectful and diligent manner, providing clear responses and incorporating the necessary changes into your manuscript.
• Revised Manuscript Submission : Submit the revised version of your paper along with a detailed response to the reviewers’ comments. Explain the changes you made and how you addressed their concerns. This demonstrates your commitment to enhancing the quality of your research.
• Reiteration of the Review Process : Depending on the revisions, the editor may send your paper back to the same reviewers or to new reviewers for a second round of evaluation. This process continues until the paper is either accepted for publication or deemed unsuitable for the journal.
• Acceptance and Publication : If your paper successfully navigates the peer review process and meets the journal’s standards, it will be accepted for publication. Congratulations on reaching this milestone!

In conclusion, the peer review process is an essential part of academic publishing. It involves expert evaluation of your research by peers in the field, who provide valuable feedback to improve the quality and rigour of your paper. Embrace the feedback with an open mind, respond diligently to reviewer comments, and be patient during the review process. Navigating peer review is a collaborative effort to ensure that only high-quality and significant research contributes to the scholarly community.

Receiving a rejection of your research paper can be disheartening, but it is a common and normal part of the publication process. It’s important to remember that rejection does not necessarily reflect the quality of your work; many groundbreaking studies have faced rejection before finding the right publication platform. Handling rejections requires resilience, a growth mindset, and the willingness to learn from the feedback. Here’s a comprehensive explanation of this step:

• Understanding the Decision : When you receive a rejection, take the time to carefully read the editor’s decision letter and the feedback provided by the peer reviewers. Understand the reasons for the rejection and the specific concerns raised about your paper.
• Embrace Constructive Feedback : Peer reviewer comments can provide valuable insights into the strengths and weaknesses of your research. Embrace the feedback constructively, recognising that it presents an opportunity to improve your work.
• Assessing Revisions : If the decision letter includes suggestions for revisions, carefully consider whether you agree with them. Evaluate if implementing these revisions aligns with your research goals and the core message of your paper.
• Revising the Manuscript : If you decide to make revisions based on the feedback, thoroughly address the reviewer’s comments and consider making any necessary improvements to your research. Pay close attention to the areas identified by the reviewers as needing improvement.
• Resubmission or Alternative Journals : After revising your manuscript, you have the option to either resubmit it to the same journal (if allowed) or consider submitting it to a different journal. If you choose the latter, ensure that the new journal aligns with your research topic and scope.
• Tailoring the Submission : When submitting to a different journal, tailor your manuscript and cover letter to fit the specific requirements and preferences of that journal. Highlight the relevance of your research to the journal’s readership and address any unique guidelines they have.
• Don’t Lose Hope : Rejections are a natural part of the publication process, and many researchers face them at some point in their careers. It is essential not to lose hope and to remain persistent in pursuing publication opportunities.
• Learn and Improve : Use the feedback from the rejection as a learning experience. Identify areas for improvement in your research, writing, and presentation. This will help you grow as a researcher and improve your chances of acceptance in the future.
• Seek Support and Guidance : If you are struggling to navigate the publication process or interpret reviewer comments, seek support from colleagues, mentors, or academic advisors. Their insights can provide valuable guidance and encouragement.

In conclusion, handling rejections is a normal part of the publication journey. Approach rejection with a growth mindset, embracing the feedback provided by reviewers as an opportunity to improve your research. Revise your manuscript diligently, and consider submitting it to other journals that align with your research. Remember that persistence, learning from feedback, and seeking support are key to achieving success in the scholarly publishing process.

After successfully navigating the peer review process and receiving acceptance for your research paper, you are one step closer to seeing your work published in a reputable journal. However, before your paper can be published, you need to prepare it for production according to the journal’s specific requirements. This step is essential to ensuring that your paper meets the journal’s formatting and style guidelines and is ready for dissemination to the academic community. Here’s a comprehensive explanation of this step:

• Reviewing the Acceptance Letter : Start by carefully reviewing the acceptance letter from the journal’s editor. This letter will outline any final comments or suggestions from the reviewers that need to be addressed before publication.
• Addressing Reviewer Comments : If there are any outstanding revisions or clarifications requested by the reviewers, address them promptly and thoroughly. Reviewer feedback plays a crucial role in enhancing the quality and clarity of your paper, so it’s essential to give each comment due attention.
• Adhering to Journal Guidelines : Familiarise yourself with the journal’s production requirements and guidelines for formatting, referencing, and figure preparation. Ensure that your paper adheres to these guidelines to avoid delays in the publication process.
• Finalising the Manuscript : Once all revisions have been made and the paper aligns with the journal’s requirements, finalise your manuscript. Carefully proofread the entire paper to catch any remaining grammatical errors or typos.
• Handling Permissions and Copyright : If your paper includes copyrighted material (e.g., figures, tables, or excerpts from other publications), obtain permission from the original copyright holders to reproduce that content in your paper. This is crucial to avoid potential copyright infringement issues.
• Completing Authorship and Affiliation Details : Verify that all authors’ names, affiliations, and contact information are accurate and consistent. Ensure that the corresponding author is clearly identified for communication with the journal during the publication process.
• Submitting the Final Manuscript : Follow the journal’s instructions to submit the final version of your manuscript along with any required supplementary materials. This may include high-resolution figures, data sets, or additional supporting information.
• Waiting for Publication : After submitting the final version, the journal’s production team will work on typesetting, formatting, and preparing your paper for publication. This process may take some time, depending on the journal’s workflow and schedule.
• Proofing and Corrections : Once the typeset proof is ready, carefully review it for any formatting errors or typographical mistakes. Respond to the journal promptly with any necessary corrections or clarifications.
• Copyright Transfer : If required by the journal, complete the copyright transfer agreement, granting the publisher the right to publish and distribute your work.
• Publication Date and DOI : Your paper will be assigned a publication date and a Digital Object Identifier (DOI), a unique alphanumeric string that provides a permanent link to your paper, making it easily accessible and citable.

In conclusion, preparing your research paper for publication involves carefully addressing reviewer comments, adhering to journal guidelines, handling permissions and copyright issues, and submitting the final version for production. Thoroughly reviewing and finalising your paper will ensure its readiness for dissemination to the academic community.

Congratulations on successfully publishing your research paper! Now, it’s time to promote your work to reach a broader audience and increase its visibility within the academic and research communities. Effective promotion can lead to more citations, recognition, and potential collaborations. Here’s a comprehensive explanation of this step:

• Share on Social Media : Utilise social media platforms to announce the publication of your paper. Share the title, abstract, and a link to the paper on your professional profiles, such as  LinkedIn ,  Twitter , or  ResearchGate . Engage with your followers to generate interest and discussion.
• Collaborate with Colleagues : Collaborate with your co-authors and colleagues to promote the paper collectively. Encourage them to share the publication on their social media and academic networks. A collaborative effort can increase the paper’s visibility and reach.
• Academic Networks and Research Platforms : Upload your paper to academic networks and research platforms like Academia.edu, Mendeley, or Google Scholar. This allows other researchers to discover and cite your work more easily.
• Email and Newsletters : Inform your professional contacts and research network about the publication through email announcements or newsletters. Consider writing a brief summary of your paper’s key findings and significance to entice readers to access the full paper.
• Research Blog or Website : If you have a personal research blog or website, create a dedicated post announcing the publication. Provide a summary of your research and its implications in a reader-friendly format.
• Engage with the Academic Community : Participate in academic conferences, workshops, and seminars to present your research. Networking with other researchers and sharing your findings in person can create buzz around your paper.
• Press Releases : If your research has practical implications or societal relevance, consider working with your institution’s press office to issue a press release about your paper. This can attract media attention and increase public awareness.
• Academic and Research Forums : Engage in online academic and research forums to discuss your findings and share insights. Be active in relevant discussions to establish yourself as an expert in your field.
• Researcher Profiles : Keep your researcher profiles, such as those on Google Scholar, ORCID, and Scopus, updated with your latest publications. This ensures that your paper is indexed and visible to other researchers searching for related work.
• Altmetrics : Monitor the altmetrics of your paper to track its online attention, including mentions, downloads, and social media shares. Altmetrics provide additional metrics beyond traditional citations, giving you insights into your paper’s broader impact.
• Engage with Feedback : Respond to comments and questions from readers who engage with your paper. Engaging in scholarly discussions can further promote your work and demonstrate your expertise in the field.

In conclusion, promoting your published paper is an essential step to increasing its visibility, impact, and potential for further collaboration. Utilise social media, academic networks, collaborations with colleagues, and engagement with the academic community to create interest in your work. Effective promotion can lead to more citations and recognition, enhancing the overall impact of your research.

Read: Here’s a list of 10 best short story books to read in 2023 that you can’t miss.

Publishing a research paper is a rewarding experience that requires dedication, perseverance, and attention to detail. By following this essential guide, you can navigate the publication process successfully and contribute valuable knowledge to your field of study. 

Remember, each publication is a stepping stone in your academic journey, and even rejections provide opportunities for growth. Embrace the process, continue refining your research, and celebrate your contributions to advancing scientific knowledge. Good luck on your journey to academic success!

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• How to write a research paper

Last updated

11 January 2024

Reviewed by

With proper planning, knowledge, and framework, completing a research paper can be a fulfilling and exciting experience. 

Though it might initially sound slightly intimidating, this guide will help you embrace the challenge. 

By documenting your findings, you can inspire others and make a difference in your field. Here's how you can make your research paper unique and comprehensive.

• What is a research paper?

Research papers allow you to demonstrate your knowledge and understanding of a particular topic. These papers are usually lengthier and more detailed than typical essays, requiring deeper insight into the chosen topic.

To write a research paper, you must first choose a topic that interests you and is relevant to the field of study. Once you’ve selected your topic, gathering as many relevant resources as possible, including books, scholarly articles, credible websites, and other academic materials, is essential. You must then read and analyze these sources, summarizing their key points and identifying gaps in the current research.

You can formulate your ideas and opinions once you thoroughly understand the existing research. To get there might involve conducting original research, gathering data, or analyzing existing data sets. It could also involve presenting an original argument or interpretation of the existing research.

Writing a successful research paper involves presenting your findings clearly and engagingly, which might involve using charts, graphs, or other visual aids to present your data and using concise language to explain your findings. You must also ensure your paper adheres to relevant academic formatting guidelines, including proper citations and references.

Overall, writing a research paper requires a significant amount of time, effort, and attention to detail. However, it is also an enriching experience that allows you to delve deeply into a subject that interests you and contribute to the existing body of knowledge in your chosen field.

• How long should a research paper be?

Research papers are deep dives into a topic. Therefore, they tend to be longer pieces of work than essays or opinion pieces. 

However, a suitable length depends on the complexity of the topic and your level of expertise. For instance, are you a first-year college student or an experienced professional? 

Also, remember that the best research papers provide valuable information for the benefit of others. Therefore, the quality of information matters most, not necessarily the length. Being concise is valuable.

Following these best practice steps will help keep your process simple and productive:

1. Gaining a deep understanding of any expectations

Before diving into your intended topic or beginning the research phase, take some time to orient yourself. Suppose there’s a specific topic assigned to you. In that case, it’s essential to deeply understand the question and organize your planning and approach in response. Pay attention to the key requirements and ensure you align your writing accordingly. 

This preparation step entails

Deeply understanding the task or assignment

Being clear about the expected format and length

Familiarizing yourself with the citation and referencing requirements 

Understanding any defined limits for your research contribution

Where applicable, speaking to your professor or research supervisor for further clarification

2. Choose your research topic

Select a research topic that aligns with both your interests and available resources. Ideally, focus on a field where you possess significant experience and analytical skills. In crafting your research paper, it's crucial to go beyond summarizing existing data and contribute fresh insights to the chosen area.

Consider narrowing your focus to a specific aspect of the topic. For example, if exploring the link between technology and mental health, delve into how social media use during the pandemic impacts the well-being of college students. Conducting interviews and surveys with students could provide firsthand data and unique perspectives, adding substantial value to the existing knowledge.

When finalizing your topic, adhere to legal and ethical norms in the relevant area (this ensures the integrity of your research, protects participants' rights, upholds intellectual property standards, and ensures transparency and accountability). Following these principles not only maintains the credibility of your work but also builds trust within your academic or professional community.

For instance, in writing about medical research, consider legal and ethical norms, including patient confidentiality laws and informed consent requirements. Similarly, if analyzing user data on social media platforms, be mindful of data privacy regulations, ensuring compliance with laws governing personal information collection and use. Aligning with legal and ethical standards not only avoids potential issues but also underscores the responsible conduct of your research.

3. Gather preliminary research

Once you’ve landed on your topic, it’s time to explore it further. You’ll want to discover more about available resources and existing research relevant to your assignment at this stage. 

This exploratory phase is vital as you may discover issues with your original idea or realize you have insufficient resources to explore the topic effectively. This key bit of groundwork allows you to redirect your research topic in a different, more feasible, or more relevant direction if necessary. 

Spending ample time at this stage ensures you gather everything you need, learn as much as you can about the topic, and discover gaps where the topic has yet to be sufficiently covered, offering an opportunity to research it further. 

4. Define your research question

To produce a well-structured and focused paper, it is imperative to formulate a clear and precise research question that will guide your work. Your research question must be informed by the existing literature and tailored to the scope and objectives of your project. By refining your focus, you can produce a thoughtful and engaging paper that effectively communicates your ideas to your readers.

5. Write a thesis statement

A thesis statement is a one-to-two-sentence summary of your research paper's main argument or direction. It serves as an overall guide to summarize the overall intent of the research paper for you and anyone wanting to know more about the research.

A strong thesis statement is:

Concise and clear: Explain your case in simple sentences (avoid covering multiple ideas). It might help to think of this section as an elevator pitch.

Specific: Ensure that there is no ambiguity in your statement and that your summary covers the points argued in the paper.

Debatable: A thesis statement puts forward a specific argument––it is not merely a statement but a debatable point that can be analyzed and discussed.

Here are three thesis statement examples from different disciplines:

Psychology thesis example: "We're studying adults aged 25-40 to see if taking short breaks for mindfulness can help with stress. Our goal is to find practical ways to manage anxiety better."

Environmental science thesis example: "This research paper looks into how having more city parks might make the air cleaner and keep people healthier. I want to find out if more green spaces means breathing fewer carcinogens in big cities."

UX research thesis example: "This study focuses on improving mobile banking for older adults using ethnographic research, eye-tracking analysis, and interactive prototyping. We investigate the usefulness of eye-tracking analysis with older individuals, aiming to spark debate and offer fresh perspectives on UX design and digital inclusivity for the aging population."

6. Conduct in-depth research

A research paper doesn’t just include research that you’ve uncovered from other papers and studies but your fresh insights, too. You will seek to become an expert on your topic––understanding the nuances in the current leading theories. You will analyze existing research and add your thinking and discoveries.  It's crucial to conduct well-designed research that is rigorous, robust, and based on reliable sources. Suppose a research paper lacks evidence or is biased. In that case, it won't benefit the academic community or the general public. Therefore, examining the topic thoroughly and furthering its understanding through high-quality research is essential. That usually means conducting new research. Depending on the area under investigation, you may conduct surveys, interviews, diary studies, or observational research to uncover new insights or bolster current claims.

7. Determine supporting evidence

Not every piece of research you’ve discovered will be relevant to your research paper. It’s important to categorize the most meaningful evidence to include alongside your discoveries. It's important to include evidence that doesn't support your claims to avoid exclusion bias and ensure a fair research paper.

8. Write a research paper outline

Before diving in and writing the whole paper, start with an outline. It will help you to see if more research is needed, and it will provide a framework by which to write a more compelling paper. Your supervisor may even request an outline to approve before beginning to write the first draft of the full paper. An outline will include your topic, thesis statement, key headings, short summaries of the research, and your arguments.

9. Write your first draft

Once you feel confident about your outline and sources, it’s time to write your first draft. While penning a long piece of content can be intimidating, if you’ve laid the groundwork, you will have a structure to help you move steadily through each section. To keep up motivation and inspiration, it’s often best to keep the pace quick. Stopping for long periods can interrupt your flow and make jumping back in harder than writing when things are fresh in your mind.

10. Cite your sources correctly

It's always a good practice to give credit where it's due, and the same goes for citing any works that have influenced your paper. Building your arguments on credible references adds value and authenticity to your research. In the formatting guidelines section, you’ll find an overview of different citation styles (MLA, CMOS, or APA), which will help you meet any publishing or academic requirements and strengthen your paper's credibility. It is essential to follow the guidelines provided by your school or the publication you are submitting to ensure the accuracy and relevance of your citations.

11. Ensure your work is original

It is crucial to ensure the originality of your paper, as plagiarism can lead to serious consequences. To avoid plagiarism, you should use proper paraphrasing and quoting techniques. Paraphrasing is rewriting a text in your own words while maintaining the original meaning. Quoting involves directly citing the source. Giving credit to the original author or source is essential whenever you borrow their ideas or words. You can also use plagiarism detection tools such as Scribbr or Grammarly to check the originality of your paper. These tools compare your draft writing to a vast database of online sources. If you find any accidental plagiarism, you should correct it immediately by rephrasing or citing the source.

12. Revise, edit, and proofread

One of the essential qualities of excellent writers is their ability to understand the importance of editing and proofreading. Even though it's tempting to call it a day once you've finished your writing, editing your work can significantly improve its quality. It's natural to overlook the weaker areas when you've just finished writing a paper. Therefore, it's best to take a break of a day or two, or even up to a week, to refresh your mind. This way, you can return to your work with a new perspective. After some breathing room, you can spot any inconsistencies, spelling and grammar errors, typos, or missing citations and correct them. 

• The best research paper format 

The format of your research paper should align with the requirements set forth by your college, school, or target publication. 

There is no one “best” format, per se. Depending on the stated requirements, you may need to include the following elements:

Title page: The title page of a research paper typically includes the title, author's name, and institutional affiliation and may include additional information such as a course name or instructor's name. 

Table of contents: Include a table of contents to make it easy for readers to find specific sections of your paper.

Abstract: The abstract is a summary of the purpose of the paper.

Methods : In this section, describe the research methods used. This may include collecting data, conducting interviews, or doing field research.

Results: Summarize the conclusions you drew from your research in this section.

Discussion: In this section, discuss the implications of your research. Be sure to mention any significant limitations to your approach and suggest areas for further research.

Tables, charts, and illustrations: Use tables, charts, and illustrations to help convey your research findings and make them easier to understand.

Works cited or reference page: Include a works cited or reference page to give credit to the sources that you used to conduct your research.

Bibliography: Provide a list of all the sources you consulted while conducting your research.

Dedication and acknowledgments : Optionally, you may include a dedication and acknowledgments section to thank individuals who helped you with your research.

• General style and formatting guidelines

Formatting your research paper means you can submit it to your college, journal, or other publications in compliance with their criteria.

Research papers tend to follow the American Psychological Association (APA), Modern Language Association (MLA), or Chicago Manual of Style (CMOS) guidelines.

Here’s how each style guide is typically used:

Chicago Manual of Style (CMOS):

CMOS is a versatile style guide used for various types of writing. It's known for its flexibility and use in the humanities. CMOS provides guidelines for citations, formatting, and overall writing style. It allows for both footnotes and in-text citations, giving writers options based on their preferences or publication requirements.

American Psychological Association (APA):

APA is common in the social sciences. It’s hailed for its clarity and emphasis on precision. It has specific rules for citing sources, creating references, and formatting papers. APA style uses in-text citations with an accompanying reference list. It's designed to convey information efficiently and is widely used in academic and scientific writing.

Modern Language Association (MLA):

MLA is widely used in the humanities, especially literature and language studies. It emphasizes the author-page format for in-text citations and provides guidelines for creating a "Works Cited" page. MLA is known for its focus on the author's name and the literary works cited. It’s frequently used in disciplines that prioritize literary analysis and critical thinking.

To confirm you're using the latest style guide, check the official website or publisher's site for updates, consult academic resources, and verify the guide's publication date. Online platforms and educational resources may also provide summaries and alerts about any revisions or additions to the style guide.

Citing sources

When working on your research paper, it's important to cite the sources you used properly. Your citation style will guide you through this process. Generally, there are three parts to citing sources in your research paper: 

First, provide a brief citation in the body of your essay. This is also known as a parenthetical or in-text citation. 

Second, include a full citation in the Reference list at the end of your paper. Different types of citations include in-text citations, footnotes, and reference lists. 

In-text citations include the author's surname and the date of the citation. 

Footnotes appear at the bottom of each page of your research paper. They may also be summarized within a reference list at the end of the paper. 

A reference list includes all of the research used within the paper at the end of the document. It should include the author, date, paper title, and publisher listed in the order that aligns with your citation style.

10 research paper writing tips:

Following some best practices is essential to writing a research paper that contributes to your field of study and creates a positive impact.

These tactics will help you structure your argument effectively and ensure your work benefits others:

Clear and precise language:  Ensure your language is unambiguous. Use academic language appropriately, but keep it simple. Also, provide clear takeaways for your audience.

Effective idea separation:  Organize the vast amount of information and sources in your paper with paragraphs and titles. Create easily digestible sections for your readers to navigate through.

Compelling intro:  Craft an engaging introduction that captures your reader's interest. Hook your audience and motivate them to continue reading.

Thorough revision and editing:  Take the time to review and edit your paper comprehensively. Use tools like Grammarly to detect and correct small, overlooked errors.

Thesis precision:  Develop a clear and concise thesis statement that guides your paper. Ensure that your thesis aligns with your research's overall purpose and contribution.

Logical flow of ideas:  Maintain a logical progression throughout the paper. Use transitions effectively to connect different sections and maintain coherence.

Critical evaluation of sources:  Evaluate and critically assess the relevance and reliability of your sources. Ensure that your research is based on credible and up-to-date information.

Thematic consistency:  Maintain a consistent theme throughout the paper. Ensure that all sections contribute cohesively to the overall argument.

Relevant supporting evidence:  Provide concise and relevant evidence to support your arguments. Avoid unnecessary details that may distract from the main points.

Embrace counterarguments:  Acknowledge and address opposing views to strengthen your position. Show that you have considered alternative arguments in your field.

7 research tips 

If you want your paper to not only be well-written but also contribute to the progress of human knowledge, consider these tips to take your paper to the next level:

Selecting the appropriate topic: The topic you select should align with your area of expertise, comply with the requirements of your project, and have sufficient resources for a comprehensive investigation.

Use academic databases: Academic databases such as PubMed, Google Scholar, and JSTOR offer a wealth of research papers that can help you discover everything you need to know about your chosen topic.

Critically evaluate sources: It is important not to accept research findings at face value. Instead, it is crucial to critically analyze the information to avoid jumping to conclusions or overlooking important details. A well-written research paper requires a critical analysis with thorough reasoning to support claims.

Diversify your sources: Expand your research horizons by exploring a variety of sources beyond the standard databases. Utilize books, conference proceedings, and interviews to gather diverse perspectives and enrich your understanding of the topic.

Take detailed notes: Detailed note-taking is crucial during research and can help you form the outline and body of your paper.

Stay up on trends: Keep abreast of the latest developments in your field by regularly checking for recent publications. Subscribe to newsletters, follow relevant journals, and attend conferences to stay informed about emerging trends and advancements. 

Engage in peer review: Seek feedback from peers or mentors to ensure the rigor and validity of your research. Peer review helps identify potential weaknesses in your methodology and strengthens the overall credibility of your findings.

• The real-world impact of research papers

Writing a research paper is more than an academic or business exercise. The experience provides an opportunity to explore a subject in-depth, broaden one's understanding, and arrive at meaningful conclusions. With careful planning, dedication, and hard work, writing a research paper can be a fulfilling and enriching experience contributing to advancing knowledge.

How do I publish my research paper? 

Many academics wish to publish their research papers. While challenging, your paper might get traction if it covers new and well-written information. To publish your research paper, find a target publication, thoroughly read their guidelines, format your paper accordingly, and send it to them per their instructions. You may need to include a cover letter, too. After submission, your paper may be peer-reviewed by experts to assess its legitimacy, quality, originality, and methodology. Following review, you will be informed by the publication whether they have accepted or rejected your paper. 

What is a good opening sentence for a research paper? 

Beginning your research paper with a compelling introduction can ensure readers are interested in going further. A relevant quote, a compelling statistic, or a bold argument can start the paper and hook your reader. Remember, though, that the most important aspect of a research paper is the quality of the information––not necessarily your ability to storytell, so ensure anything you write aligns with your goals.

Research paper vs. a research proposal—what’s the difference?

While some may confuse research papers and proposals, they are different documents. 

A research proposal comes before a research paper. It is a detailed document that outlines an intended area of exploration. It includes the research topic, methodology, timeline, sources, and potential conclusions. Research proposals are often required when seeking approval to conduct research. 

A research paper is a summary of research findings. A research paper follows a structured format to present those findings and construct an argument or conclusion.

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High School Guide: How to Publish a Research Paper in 5 Easy Steps

Indigo Research Team

We understand how overwhelming the idea of publishing research as a high schooler may seem. It’s true, that the process of submitting and publishing a paper can be very complex and daunting. It needs a lot of preparation and perseverance.

However, publishing research increasingly becomes the " gold " that a college Admission Officer is looking for. Publication in leading journals, like Concord Review, or International Journal for High School Students can showcase your ability and determination to a college admission officer when you apply for college.

Although it seems complicated, worry not! We’ll simplify the steps for you.

‍ This article will break down 5 steps on how to publish a research paper.

1. Find the Right Mentor for Your Research Purposes

Can you write a research paper on your own? Yes, you can. But, it would be extremely difficult. Finding the perfect mentor is key to having a smooth ride. As an aspiring high school student, you'll want guidance from someone who shares your intellectual interests and can offer expertise in your field of study. Mentors can also help you find information about publishing research as well as where to publish a research paper.

“If you cannot see where you are going, find someone who has been there before.” - J.L. Norris

To find a mentor, first , you need to reflect on your goals and needs. Ask yourself these questions:

• Do you want help developing research questions? • Feedback on a draft? • Opportunities to co-author a paper?

Defining what you hope to gain from mentorship will help determine who may be the best fit.

‍ Secondly, once you know (in general) who you want to work with, you can start your search by browsing the faculty profiles on your school’s website or research database like academia.edu or you can also utilize social media platforms like LinkedIn. Look for professors with expertise in your areas of interest. 

It’s important to reach out in the right manner for them to notice you. Remember, you are the one who needs their help and not the other way around. Therefore, the way you reach out online is very crucial to get their attention. Keep in mind that you should do thorough research about this person before sending a message. Here’s an example of a short template message you can use for initial communication on LinkedIn:

Dear Professor [Last Name],

I'm [Your Name], a high school student passionate about [Your Research Interest]. Impressed by your work in [Their Field]. I'm very intrigued by your argumentation about [Topic]. I’m looking for a mentorship for a project I'm planning. Your guidance would be invaluable. Could we discuss this possibility

Looking forward to hearing from you. Best,

[Your Name] ‍

Third, if you still can’t find an available mentor, you should also expose yourself to new ideas by attending guest lectures, joining online forums, and reading publications in your field. You can also find mentors who have published research papers that you are interested in. Engage with the material by asking questions. This demonstrates your passion for learning and can lead to finding a mentor.

While finding a mentor can be a bit of a hassle, you can check out our mentors and find the mentor of your preferences. After you have found your mentor, you can start doing the second step.

2. Choose an Exciting Research Topic That Interests You

Choosing topics that you are deeply passionate about or interested in is the key to keeping you motivated until the end of the research. 

Discover Your Passions or Interests

There are many passion project ideas that you can explore. But you can always start by asking:

• What do you love to read about or discuss with friends?  • Are there any social issues you care deeply about?  • What are the topics related to your hobbies, favorite books or movies, sports teams, and travel destinations? • Or do you like more of the popular subjects in your school like biology, chemistry, computer science, psychology, or genetics? Look for topics that spark your curiosity or creativity.

Find an Opportunity Gap

Review what research has already been done on topics that interest you. Look for areas that could use more exploration or that you could investigate further. Think about new angles, questions, or perspectives you might bring to the subject. Finding an unexplored niche in a broader topic area can lead to an exciting, original research paper.

Talk to Your Mentor

Discuss ideas with your mentor, especially if you have an area of study in mind but need guidance narrowing down to a specific, manageable research question. Your mentor may be able to suggest topics that would work well for a research paper and align with standards or curriculum. They can also help determine if a topic idea is too broad or narrow, or if resources will be readily available.

Application of the Research in Reality

Choose a topic that could have real-world implications or applications. How can your research paper help real-world problems?

Think about local issues in your community or school that could be addressed or improved through research. Papers investigating practical solutions or the effectiveness of policies, programs, or interventions tend to be very compelling.

3. Choose the Right Journal or Conference to Publish Your Research Paper

“Where can I publish my research paper?” ‍

You can publish your research paper through respectable journals, conferences, or research paper competitions. It's important to have a goal in mind before starting any research paper. Determining this in the beginning might help you to stay on course and motivated. 

Consider the Scope of the Selected Journals

Decide the scope then look for publications that focus on your area of study or research topic. Are you looking to publish a research paper in an international journal? Or are you aiming for more local journals? 

Double-check that the journal accepts submissions from high school students and check their reputation. Aim high, but be realistic. See if any professors or mentors can recommend appropriate platforms. Review the editorial board and see if top researchers in your field are involved.

Examples of the journals that can publish your research paper as a high schooler include:

• Concord Review  
• The National High School Journal of Science
• STEM Fellowship Journal
• Journal of Student Research
• Journal of High School Science (JHSS)
• International Journal of High School Research (IJHSR)

“Where can I publish my research paper for free?” ‍

Here are some journals where you can submit your research paper for free, but be aware some of them require a publication fee:

• Journal of Emerging Investigators (JEI)
• Young Scientist Journal
• Youth Medical Journal
• Journal Research High School
• Hope Humanities Journal
• International Youth Neuroscience Association Journal
• Whitman Journal of Psychology

Review Submission Guidelines

Once you’ve set your mind and chosen your goal, carefully read and follow the instructions for authors. Pay attention to formatting, abstract length, images, and anything else specified. Following the guidelines shows you understand publishing norms in your field.

4. Conduct Thorough Research, Write and Format Your Research Paper Properly

Now that you have selected a topic and compiled sources, it's time to dive into your research and start writing. Publishing a research paper in a journal requires thorough research and a properly formatted paper.

• Analyze and read all of your resources and take notes on the key ideas, facts, questions, examples, data, quotes, and arguments that might be relevant to your research project. Keep it organized into an outline.
• Determine your research question and consult with your mentor. Once you begin drafting your paper, be sure to paraphrase, summarize, and quote the right citation.  ‍
• Carefully proofread and format your paper. Double-check for any spelling, grammar, or punctuation errors. Ensure your paper follows the recommended style guide for font type and size, spacing, margins, page numbers, headings, and image captions. ‍

Of course, writing a research paper is not as easy. If you need guidance, you can also try to join research programs that will allow you to finish the research paper easier.

5. Review Before Submitting Your Research Paper and Respond to Feedback

Once your paper is complete, it's time to share your work with the world.

Review Your Research Paper

Before making this incredible step, review your research paper once again. Have a teacher or mentor check your paper to ensure it meets the journal's standards. Put together a cover letter introducing yourself and your research. Explain the importance of your work and most importantly, why they need to publish your work.

Anticipate Feedback

Even after submitting, your work isn't done. Journals will send your paper out for peer review by experts in the field. Reviewers may suggest changes to strengthen your paper before it can be accepted. Don't get discouraged—even professional researchers incorporate feedback! Address each comment thoroughly and openly. Making revisions will improve your paper and help you become a better writer and researcher.

How Long Does it Take to Publish a Research Paper?

In general, the publication process can take several months to a year or more from the initial submission to final publication. It depends on the institutions and the availability of the peer reviewers. If your paper is accepted for publication, congratulations! If not, use the experience as an opportunity to improve. Carefully consider the feedback and see it as a chance to strengthen your methods, arguments, and writing. Don't hesitate to submit to another journal or work with your mentor to revise and resubmit.

That’s it! Congratulations on finishing all the steps!

Whether or not you get published, finishing the research paper is an achievement in itself. We hope that this article on how to publish a research paper will help you to get your research paper published. Remember that persistence, attention to detail, and a clear understanding of your target journal's guidelines are key. Stay determined and keep researching. You got this!

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If Faces Appear Distorted, You Could Have This Condition

Research presents a unique case of a patient with prosopometamorphopsia.

COVID-19 Can Cause 'Face Blindness'

Imagine if every time you saw a face, it appeared distorted. For those who have a very rare condition known as prosopometamorphopsia, which causes facial features to appear distorted, that is reality.

As the website on what is known as PMO explains, “‘Prosopo’ comes from the Greek word for face ‘prosopon’ while ‘metamorphopsia’ refers to perceptual distortions.” The distortions can affect the shape, size, color, and position of facial features, and PMO can last for days, weeks, or even years.

A new Dartmouth study published in the “Clinical Pictures” section of The Lancet reports on a unique case of a patient with PMO. The research is among the first to provide realistic visualizations of how a patient experienced facial distortions.

The patient, a 58-year-old male with PMO, sees faces without any distortions when viewed on a screen and on paper but sees distorted faces that appear “demonic” when viewed in-person. The case is especially rare because he does not see distortions of faces across all contexts.

For the study, the researchers took a photograph of a person’s face. Then, they showed the patient the photograph on a computer screen while he looked at the real face of the same person. The researchers obtained real-time feedback from the patient on how the face on the screen and the real face in front of him differed, as they modified the photograph using computer software to match the distortions perceived by the patient.

Through the process, we were able to visualize the patient’s real-time perception of the face distortions.

“In other studies of the condition, patients with PMO are unable to assess how accurately a visualization of their distortions represents what they see because the visualization itself also depicts a face, so the patients will perceive distortions on it too,” says lead author Antônio Mello , Guarini, a PhD student in the Department of Psychological and Brain Sciences .

In contrast, this patient doesn’t see distortions on a screen. This means that the researchers were able to modify the face in the photograph, and the patient could accurately compare how similar his perception of the real face was to the manipulated photograph. “Through the process, we were able to visualize the patient’s real-time perception of the face distortions,” says Mello.

In their research with other PMO cases, the co-authors state that some of their PMO participants have seen health professionals who wanted to help, but diagnosed them with another health condition, not PMO.

“We’ve heard from multiple people with PMO that they have been diagnosed by psychiatrists as having schizophrenia and put on anti-psychotics, when their condition is a problem with the visual system,” says senior author Brad Duchaine , a professor of psychological and brain sciences and principal investigator of the Social Perception Lab at Dartmouth.

“And it’s not uncommon for people who have PMO to not tell others about their problem with face perception because they fear others will think the distortions are a sign of a psychiatric disorder,” says Duchaine. “It’s a problem that people often don’t understand.”

Through their paper, the researchers hope to increase public awareness of what PMO is .

Daniel Stehr at Dartmouth and Professor of Neurology Krzysztof Bujarski at the Geisel School of Medicine also contributed to the study.

Amy Olson can be reached at [email protected] .

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There’s so much to confront here in Japan’s position vis-à-vis nuclear weapons.

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API indicates active pharmaceutical ingredient.

Prices for a medicine per country are not shown if no data were found. The x-axis is scaled to allow best overall visual discernment, and in a small number of cases, prices exceed what can be displayed. Where prices in one country are far higher than most others, that bar is shown with a fading gradient and a data label to indicate the value. The stacked bars for cost-based prices represent the range between the competitive and conservative estimation formulae. Assumptions for calculating per-month prices are the same as outlined in footnote a of Table 1 .

eTable 1. Summary of Assumed Cost Input Variables

eMethods. Detailed Methods

eTable 2. Search Criteria and Salt Forms of Included Medicines

eTable 3. Criteria Used for Cleaning Export-Import Data

eTable 4. Costs of Active Pharmaceutical Ingredients

eFigure 1. Shipment-Level Scatterplots of API Exports

eTable 5. Bulk Excipient Costs

eTable 6. National Drug Price Sources

eResults. Detailed Results

eTable 7. Sustainable Costs for Diabetes Medicines, by Formulation

eFigure 2. Lowest Market Prices and Cost-Based Prices (per Month, US$): SGLT2 Inhibitors

eFigure 3. Lowest Market Prices and Cost-Based Prices (per Month, US$): GLP1 Agonists

eFigure 4. Lowest Market Prices and Cost-Based Prices (per Month, US$): Human Insulins

eFigure 5. Lowest Market Prices and Cost-Based Prices (per Month, US$): Insulin Analogues

eReferences

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Barber MJ , Gotham D , Bygrave H , Cepuch C. Estimated Sustainable Cost-Based Prices for Diabetes Medicines. JAMA Netw Open. 2024;7(3):e243474. doi:10.1001/jamanetworkopen.2024.3474

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Estimated Sustainable Cost-Based Prices for Diabetes Medicines

• 1 Yale Collaboration for Regulatory Rigor, Integrity, and Transparency (CRRIT), New Haven, Connecticut
• 2 Program on Regulation, Therapeutics, and Law, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, and Harvard Medical School, Boston, Massachusetts
• 3 Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
• 4 King’s College Hospital, London, United Kingdom
• 5 Médecins Sans Frontières Access Campaign, Geneva, Switzerland

Question   What could prices of insulins, sodium-glucose cotransporter 2 inhibitors (SGLT2Is), and glucagonlike peptide 1 agonists (GLP1As) be if they were closer to the cost of production?

Findings   In this economic evaluation of manufacturing costs, estimated cost-based prices per month were US $1.30 to $3.45 for SGLT2Is (except canagliflozin), and $0.75 to $72.49 for GLP1As, substantially lower than current market prices in nearly all comparisons. Twice-daily mixed human insulin NPH could cost $61 per year, while basal-bolus treatment with insulin glargine and aspart could cost $111 per year, with reusable pen formulations having the lowest estimated prices.

Meaning   The findings of this study suggest that insulins, SGLT2Is, and GLP1As can likely be manufactured for prices far below current prices, enabling wider access.

Importance   The burden of diabetes is growing worldwide. The costs associated with diabetes put substantial pressure on patients and health budgets, especially in low- and middle-income countries. The prices of diabetes medicines are a key determinant for access, yet little is known about the association between manufacturing costs and current market prices.

Objectives   To estimate the cost of manufacturing insulins, sodium-glucose cotransporter 2 inhibitors (SGLT2Is), and glucagonlike peptide 1 agonists (GLP1As), derive sustainable cost-based prices (CBPs), and compare these with current market prices.

Design, Setting, and Participants   In this economic evaluation, the cost of manufacturing insulins, SGLT2Is, and GLP1As was modeled. Active pharmaceutical ingredient cost per unit (weighted least-squares regression model using data from a commercial database of trade shipments, data from January 1, 2016, to March 31, 2023) was combined with costs of formulation and other operating expenses, plus a profit margin with an allowance for tax, to estimate CBPs. Cost-based prices were compared with current prices in 13 countries, collected in January 2023 from public databases. Countries were selected to provide representation of different income levels and geographic regions based on the availability of public databases.

Main Outcomes and Measures   Estimated CBPs; lowest current market prices (2023 US dollars).

Results   In this economic evaluation of manufacturing costs, estimated CBPs for treatment with insulin in a reusable pen device could be as low as $96 (human insulin) or $111 (insulin analogues) per year for a basal-bolus regimen, $61 per year using twice-daily injections of mixed human insulin, and $50 (human insulin) or $72 (insulin analogues) per year for a once-daily basal insulin injection (for type 2 diabetes), including the cost of injection devices and needles. Cost-based prices ranged from $1.30 to $3.45 per month for SGLT2Is (except canagliflozin: $25.00-$46.79) and from $0.75 to $72.49 per month for GLP1As. These CBPs were substantially lower than current prices in the 13 countries surveyed.

Conclusions and Relevance   High prices limit access to newer diabetes medicines in many countries. The findings of this study suggest that robust generic and biosimilar competition could reduce prices to more affordable levels and enable expansion of diabetes treatment globally.

While the burden of diabetes is increasing worldwide, health systems are faced with unaffordable medicine prices. There were an estimated 537 million people living with diabetes (PLD) worldwide in 2021, 90% of whom live in low- and middle-income countries (LMICs). 1 Health expenditures directly related to diabetes have tripled in the past 15 years. 1 Major challenges remain in accessing insulin and newer treatments for type 2 diabetes (T2D). 2 - 9

Insulin analogues offer different pharmacokinetic profiles that allow insulin needs to be matched more closely, enable more convenient dosing regimens, and, in some cases, reduce the rate of adverse events. 10 Newer treatments for T2D—sodium-glucose cotransporter 2 inhibitors (SGLT2Is) and glucagonlike peptide 1 agonists (GLP1As)—are now recommended for first-line treatment of T2D for patients with additional cardiovascular risk factors or obesity, independent of metformin use. 11

Understanding the cost of manufacture can support health systems to target a reasonable price during negotiations with pharmaceutical manufacturers. Earlier analyses by some of the authors of the study reported herein estimated the cost of manufacturing certain diabetes medicines, including insulins, 12 - 14 finding that estimated cost-based prices were far below the market prices for insulin analogues at the time. Manufacturing cost estimates for some GLP1As (semaglutide and liraglutide) were recently published in the context of obesity treatment. 15 This study develops methods for estimating pharmaceutical manufacturing costs, updates cost analyses for insulins, 12 and provides, to our knowledge, the first published manufacturing cost estimates for SGLT2Is and GLP1As for the treatment of diabetes.

This economic evaluation study estimated the cost of production for insulins, SGLT2Is, and GLP1As, and, based on this, a sustainable cost-based price (CBP), and compared CBPs with the current lowest reported prices in 13 countries, collected in January 2023 from public databases. Cost-based prices were defined as prices that would be expected in competitive markets that afford manufacturers sustainable returns, while avoiding excessive profit margins. The protocol was submitted to the institutional review board at the Harvard T.H. Chan School of Public Health, which determined that this research was not human research as defined by Department of Health and Human Service regulations 45 CFR 46.102(e) or the US Food and Drug Administration (FDA) regulations. This study followed the relevant portions of the Consolidated Health Economic Evaluation Reporting Standards ( CHEERS ) reporting guideline.

We included all SGLT2Is, GLP1As, and insulins approved by the FDA or European Medicines Agency in all available formulations. We did not include combination products, except for 70/30 mixed human insulin NPH, which was included due to its widespread use.

The cost of manufacture for medicines in a range of different therapeutic areas has been estimated. 12 - 14 The methods of these earlier studies served as a starting point for our approach. The cost of the active pharmaceutical ingredient (API) is the first input to which we add the costs of formulation and secondary packaging, logistical costs, profits, and an allowance for tax. A range of CBPs was produced using a competitive formula that assumes large-scale production and a conservative formula that assumes smaller production volumes and/or higher operating or profit margins ( Figure 1 and Figure 2 ). Average API market prices were estimated by statistical analysis of international API shipment data (January 1, 2016, to March 31, 2023) available from a trade database (weighted least-squares regression model) (eMethods in Supplement 1 ), supplemented with direct solicitation from manufacturers and inference of costs based on product similarity if data could not be identified using the aforementioned means. Costs of specialized injection devices were derived from interviews with industry experts. Further details on API analysis and cost modeling are described in the eMethods and eTables 1-5 in Supplement 1 .

Current market prices were collected for 13 countries from public databases (eMethods, eTable 6 in Supplement 1 ), including 4 high-income countries (France, Latvia, the UK, and the US) and 9 middle-income countries (Bangladesh, Brazil, China [data available only for insulins], El Salvador, India, Indonesia, Morocco, South Africa, and Ukraine). Countries were chosen based on the availability of data on prices and an intention to provide geographic and economic diversity in the sample. We were not aware of a publicly available medicines price database for any low-income country. For each country, we report the lowest price identified for each medicine and each formulation across different manufacturers and package sizes.

Statistical analyses were performed in R, version 4.2.2 (R Foundation for Statistical Computing). Costs and prices are reported in 2023 US dollars. No inflation adjustment was undertaken as the collected cost inputs represent 2023 costs.

When formulated in vials, the CBPs for regular human insulin (RHI) and insulin NPH were between 97% lower to 24% higher than the lowest current market prices, while CBPs for insulin analogues were 25% to 97% lower than the lowest current market prices ( Table 1 , Figure 3 ; eFigure 4, eFigure 5, and eResults in Supplement 1 ). For insulin cartridges, CBPs were 61% to 98% lower than the lowest current market prices, except for detemir, for which the CBP was 38% to 66% lower than the lowest current market prices ( Table 1 , Figure 3 ; eFigure 4, eFigure 5, and eResults in Supplement 1 ). For prefilled pens, CBPs for RHI and insulin NPH were 7% to 88% lower than the lowest current market prices. For insulin analogues, the CBPs for prefilled pens were 52% to 96% lower than the lowest current market prices ( Table 1 , Figure 3 ; eFigure 4, eFigure 5, and eResults in Supplement 1 ). The estimated cost of treatment per person per year was as low as US $61 using twice-daily mixed insulin NPH and US $111 using basal-bolus treatment with insulin glargine and aspart ( Table 2 ).

Estimated cost-based prices per month were US $1.30 to US $3.45 for SGLT2 inhibitors (except canagliflozin) and US $0.75 to US $72.49 for GLP1 agonists ( Table 1 ). For dapagliflozin and empagliflozin, CBPs were lower than the current lowest market prices, while the CBP of canagliflozin overlapped with the lowest current market prices ( Table 1 , Figure 3 ; eFigure 2 in Supplement 1 ). Cost-based prices per month for GLP1As were all substantially below the lowest current market prices ( Table 1 , Figure 3 ; eFigure 3 in Supplement 1 ). Further details on prices and API cost data used in estimating CBP are presented in the eMethods, eTable 4, eFigure 1, and eResults in Supplement 1 .

The greatest international spread of prices was seen for RHI in vials, with a factor of 103 difference across countries ( Figure 3 ). Comparing different formulations for insulins, pen formulations were more expensive per treatment day than vials for 6 of 8 insulins where comparisons were possible ( Table 1 ).

The lowest observed prices for insulin analogues exceeded the CBP by a factor of 1.3 to 38.9 in 13 countries of different income levels ( Figure 3 ). In a minority of cases, the lowest available prices for RHI and insulin NPH were within the range of CBPs (Philippines, South Africa, and India for vials; South Africa for disposable pens).

Our findings suggest that, for nearly all insulins, SGLT2Is, and GLP1As, in nearly all countries surveyed, prices could be reduced substantially if robust generic/biosimilar manufacture was enabled.

It is estimated that only half of the 63 million people with T1D or T2D needing insulin worldwide can access the medicine. 4 Surveys have reported high rates of insulin rationing even in high-income countries, for reasons including price. 6 , 7

Across all insulins, the highest prices were in the US, while the lowest prices were seen in China, France, the Philippines, and South Africa. The lowest observed prices for insulin analogues exceeded the CBP by a factor of 1.3 to 38.9 ( Figure 3 ).

Using a low-cost reusable pen with insulin NPH 70/30 cartridges twice daily could bring annual insulin costs down to $61. Using a basal-bolus regimen of insulin glargine once daily and 3 insulin aspart injections, costs could be as low as $111 ( Table 2 ). These estimates include the costs of insulin, injection devices, and needles, but exclude glucose monitoring, for which reported annual costs range from $98 to $1300. 16

At present, Médecins Sans Frontières procures insulin for use in humanitarian programs at $3.70 for RHI or insulin NPH or insulin NPH 70/30 in a prefilled pen, $2.48 per RHI cartridge, $2.14 for insulin glargine in a prefilled pen (all containing 300 U), and $2.00 for human insulin in a vial (1000 U). These prices are all within our range of CBP estimates, except for RHI cartridges, for which the CBP was 26% to 76% lower (eTable 7 in Supplement 1 ).

For all insulins, CBPs were only slightly higher for disposable pens and cartridges compared with vials. However, current market prices were far greater for pen formulations than for vials, suggesting greater markups that are not justified by differences in manufacturing costs.

Current treatment guidelines recommend starting an SGLT2I or GLP1A as soon as T2D is diagnosed in patients with established cardiovascular disease or multiple risk factors for cardiovascular disease or chronic kidney disease. 11 Based on these guidelines, SGLT2Is and GLP1As would be recommended for a large proportion of patients: for example, one-third of people living with T2D in LMICs have chronic kidney disease, 17 while 18% in upper middle-income counties and 27% in lower middle-income countries have coronary artery disease. 18

Compared with insulin, far less literature is available on global access and pricing of SGLT2Is and GLP1As. A 2018 study interviewed experts in Cambodia, India, Pakistan, and Tanzania, finding that access to SGLT2Is and GLP1As was very limited. 8

Our analysis suggests that major cost reductions could be achieved for the SGLT2Is dapagliflozin and empagliflozin and the GLP1As dulaglutide, exenatide, liraglutide, and oral and injectable semaglutide ( Table 1 , Figure 3 ). A recent study of the cost of production for liraglutide and injectable semaglutide as antiobesity treatments, using methods similar to those used herein, produced similar estimates to those in this analysis. 15

Three companies (Novo Nordisk, Eli Lilly, and Sanofi; considered the Big 3) control more than 90% of the global insulin market and 83% of the LMICs market. 19 , 20 It has been recognized for years that this oligopoly poses a major barrier to entry for new manufacturers and is a key factor in the lack of access to insulin in many world regions. 21 , 22 While at least 40 companies manufacture or market insulin globally, many of these companies operate under licensing or supply agreements with the Big 3. It has been estimated that the number of independent insulin manufacturers is only 10. 21 , 23 This limited number of manufacturers has come under government scrutiny: in the US, the state of California has filed a suit against the Big 3 insulin manufacturers, alleging excessive pricing and unfair business practices. 24

Patents prevent competition and play a leading role in keeping prices high for a wide range of medicines. All SGLT2Is and GLP1As included in this study are under patent protection in the US and Canada, although patents vary in the extent that they block competitors. Generic products are not available in the US, Canada, or the UK, while generic versions are available for all 3 SGLT2Is in India, and a generic/biosimilar version for exenatide is available in India. 25 , 26 Biosimilars are currently available in the European Union for insulin glargine, insulin lispro, and insulin aspart. 27

While most patents covering insulin compounds have expired, secondary patents (ie, patents that cover modifications including formulation, derivates, or method of use) play a role in delaying access to insulin biosimilar products. For example, in the US, plans for launch of one biosimilar insulin glargine product, which had already been approved by the FDA, were aborted following a patent infringement suit. 28 More than 70 secondary patents have been filed on insulin glargine in the US. 28 In addition, many insulin injection devices are still covered by patents. 29 , 30

Approximately 60% of people using insulin globally use (reusable or disposable) pens, with up to 94% using pens in Europe. 31 The lack of access to devices adds major costs: Médecins Sans Frontières has found that syringes and needles needed to inject insulin cost around $60 per year. 32

There are, in general, more active patents on insulin devices than on the drug itself. 29 Our interviews with device manufacturers also reflected a belief that intellectual property on devices was one of the main barriers to market entry for new manufacturers.

In some settings, people living with T1D visit a health facility twice a day to receive insulin. Better access to pen devices could enable increased self-management of T1D in these settings by requiring less training, reducing drug waste, being less prone to dosage errors, and enabling insulin injections outside the home. In 2023, the World Health Organization Essential Medicines List was expanded to include insulin formulation in cartridges and prefilled syringes, due to “ease of use, greater accuracy of dosing, and improved adherence.” 33

With the market share made up by insulin analogues vs human insulin in LMICs steadily increasing, 19 some have expressed concerns that this will increase costs, as analogues have much higher prices in most cases. 22 , 34 This adds urgency to reducing prices for insulin analogues. 35

Observed API market costs were higher for insulin analogues than for human insulin. However, with manufacturing processes for biologic agents rapidly improving in efficiency and the number of manufacturers increasing, it would not be surprising to see API costs for insulin analogues match or drop below the cost of human insulin API. Already now, in Chinese public tenders, the price of some insulin analogues is lower than prices for RHI or insulin NPH. 36

Increasing costs for T2D treatment are already placing disproportionate burdens on LMICs: health expenditures for diabetes as a proportion of the gross domestic product are higher in South America, Central America, the Middle East, and North Africa than in Europe. 1 Additionally, a large proportion of primary care expenditures in LMICs are out-of-pocket, and about half of those expenditures are on medical goods. 37

In countries with higher prices, major cost savings could be attained through increased availability of lower-cost generics/biosimilars. At the present, this is restrained by a mix of regulatory challenges, intellectual property barriers, and business practices discouraging competition.

Insulins and some GLP1As are biologics. Bringing a biosimilar agent to market is more expensive than for a small molecule (nonbiologic) medicine due to numerous factors, including the requirement to design a new cell line and downstream manufacturing process that yields a similar molecule and, in many cases, requirements to undertake a large clinical trial to prove clinical equivalency.

However, there are reasons to believe that the costs of bringing biosimilars to market may reduce in coming years. The FDA and the World Health Organization have recently updated their guidance for insulin biosimilars, no longer requiring comparative clinical trials if laboratory analyses and pharmacokinetic and pharmacodynamic studies show high similarity. 38 , 39

Governments have a range of policy tools, procurement mechanisms, and legal avenues available to reduce the prices of unaffordable medicines. These include, for example, price controls and joint procurement between different countries (pooled procurement). For patented medicines, if agreement on an affordable price cannot be reached in negotiations with a manufacturer, many countries have compulsory licensing provisions in their legislation, which allow for generic importation and manufacture regardless of patents. In some cases, public sector manufacture, as is being pursued in California, 40 may also be important.

Pharmaceutical prices and manufacturing costs are shrouded in secrecy, 41 and pharmaceutical manufacturers do not publish breakdowns of manufacturing costs. Analyzing the costs of manufacturing can inform pharmaceutical cost containment policies and procurement negotiations. Some countries have used cost-plus price regulation, applying a formula to calculate a permissible maximum price based on costs of manufacture. 42

We describe the estimated achievable generic/biosimilar prices presented in this study as sustainable, meaning prices that would be expected in competitive markets that afford manufacturers returns, while avoiding excessive profit margins. Thus, the methods used are not designed to calculate the lowest possible cost of manufacture. Instead, they are based on average costs based on current market rates for key inputs.

Analyzing the cost of production can also help health systems forecast what prices will be possible once generic competition occurs. For example, in the HIV/AIDS pandemic, there were claims that treatment would never be possible in LMICs due to inherently high drug costs. 43 Once generic manufacturers explained that medicines could be manufactured for under 3% of the original list price, massive treatment programs were established, transforming the deadly pandemic into a manageable chronic disease. A similar pattern was seen for hepatitis C treatments approved over 2014-2017. 43

A rare glimpse into pharmaceutical companies’ internal cost data is provided in documents submitted by Sanofi to a bipartisan US Senate inquiry, listing the cost of goods sold (COGS) for 5 insulin glargine pens as $7.11 or about $1.42 each (this is listed as mgmt COGS, presumably describing COGS from the management perspective, as opposed to legal COGS). 44 This is similar to our lower-bound (competitive formula) estimate of $1.20 per pen ( Table 2 ).

This cost-modeling analysis has several limitations. Many components of manufacturing costs are not individually included in cost modeling, including capital investments, quality assurance and control, and regulatory and legal costs. We consider these costs to be accounted for as part of other components (for example, the assumption for cost of biosimilar development and the market costs of API would reflect capital investments and regulatory costs).

The cost of APIs was based on reported values of international shipments. This can be expected to increase the modeled product cost, as it is likely that in-house manufacture or domestic procurement would have lower costs of API.

In nearly all real-world scenarios, additional markups are added to product cost during distribution, such as import tariffs and wholesale distributor markups, which are not specifically included in the model. At the same time, a number of conservative assumptions, especially in the conservative model (giving the top of estimated CBP ranges) will overestimate the price in some settings, as was found for similar models in previous studies. 14 There is little transparency in medicine prices, and international comparisons continue to be limited and challenging.

The findings of this economic evaluation suggest that competitive biosimilar manufacture could lower costs: treatment with insulin in a reusable pen device could cost as little as $96 (human insulin) or $111 (insulin analogues) per year for a basal-bolus regimen, $61 per year using twice-daily injections of mixed human insulin (T1D), and $50 (human insulin) or $72 (insulin analogues) for a once-daily basal insulin injection (T2D). With a steadily increasing number of people living with diabetes requiring insulin, strategies must urgently be developed to reduce insulin prices and ensure affordable and reliable access in all parts of the world.

Prices could decrease to $1.30 per month for treatment with SGLT2Is and under $0.75 for treatment with GLP1As. Further price reductions will likely become possible once a robust global generic and biosimilar market emerges.

Given the potential for generic manufacture to substantially reduce prices and thus increase access to these treatments, mechanisms that enabled early generic manufacture in other diseases, such as HIV and hepatitis C, should also be considered for use in diabetes medicines.

Accepted for Publication: January 29, 2024.

Published: March 27, 2024. doi:10.1001/jamanetworkopen.2024.3474

Open Access: This is an open access article distributed under the terms of the CC-BY License . © 2024 Barber MJ et al. JAMA Network Open .

Corresponding Author: Melissa J. Barber, PhD, Edward S. Harkness Memorial Hall A, 367 Cedar St, Room 406, New Haven, CT 06510 ( [email protected] ).

Author Contributions: Drs Barber and Gotham had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: All authors.

Acquisition, analysis, or interpretation of data: Barber, Gotham.

Drafting of the manuscript: Barber, Gotham.

Critical review of the manuscript for important intellectual content: All authors.

Statistical analysis: Barber.

Obtained funding: Barber, Bygrave, Cepuch.

Administrative, technical, or material support: Barber, Bygrave, Cepuch.

Supervision: Barber, Bygrave.

Conflict of Interest Disclosures: Dr Barber reported receiving personal fees from Médecins Sans Frontières during the conduct of the study and personal fees from the World Health Organization outside the submitted work. Dr Gotham reported receiving personal fees from Médecins Sans Frontières during the conduct of the study and has previously received payments (unrelated to this work) from the World Health Organization, the Medicines Patent Pool, Treatment Action Group, STOPAIDS UK, Global Justice Now, the World Intellectual Property Organization, and the Ada Lovelace Institute. Ms Bygrave reported being an employee of Médecins Sans Frontières during the conduct of the study. Ms Cepuch reported being an employee of Médecins Sans Frontières during the conduct of the study. No other disclosures were reported.

Funding/Support: This study was funded by Médecins Sans Frontières (Doctors Without Borders) Access Campaign.

Role of the Funder/Sponsor: Médecins Sans Frontières had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Data Sharing Statement: See Supplement 2 .

Additional Contributions: We thank our colleagues at Médecins Sans Frontières; Kevin Croke, PhD (Harvard T.H. Chan School of Public Health), Margaret McConnell, PhD (Harvard T.H. Chan School of Public Health), and Ameet Sarpatwari, JD, PhD (Harvard Medical School), for thoughtful comments; as well as the anonymous industry experts who provided cost data. Thanks to Hannibal Taubes, AB, PhD candidate in East Asian Languages and Cultures, University of California, Berkeley, for support in translating documents from Chinese (uncompensated).

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• Quantum Research

Landmark IBM error correction paper published on the cover of Nature

Ibm has created a quantum error-correcting code about 10 times more efficient than prior methods — a milestone in quantum computing research..

27 Mar 2024

Rafi Letzter

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Today, the paper detailing those results was published as the cover story of the scientific journal Nature. 1

Last year, we demonstrated that quantum computers had entered the era of utility , where they are now capable of running quantum circuits better than classical computers can. Over the next few years, we expect to find speedups over classical computing and extract business value from these systems. But there are also algorithms with mathematically proven speedups over leading classical methods that require tuning quantum circuits with hundreds of millions, to billions, of gates. Expanding our quantum computing toolkit to include those algorithms requires us to find a way to compute that corrects the errors inherent to quantum systems — what we call quantum error correction.

Read how a paper from IBM and UC Berkeley shows a path toward useful quantum computing

Quantum error correction requires that we encode quantum information into more qubits than we would otherwise need. However, achieving quantum error correction in a scalable and fault-tolerant way has, to this point, been out of reach without considering scales of one million or more physical qubits. Our new result published today greatly reduces that overhead, and shows that error correction is within reach.

While quantum error correction theory dates back three decades, theoretical error correction techniques capable of running valuable quantum circuits on real hardware have been too impractical to deploy on quantum system. In our new paper, we introduce a new code, which we call the gross code , that overcomes that limitation.

This code is part of our broader strategy to bring useful quantum computing to the world.

While error correction is not a solved problem, this new code makes clear the path toward running quantum circuits with a billion gates or more on our superconducting transmon qubit hardware.

What is error correction?

Quantum information is fragile and susceptible to noise — environmental noise, noise from the control electronics, hardware imperfections, state preparation and measurement errors, and more. In order to run quantum circuits with millions to billions of gates, quantum error correction will be required.

Error correction works by building redundancy into quantum circuits. Many qubits work together to protect a piece of quantum information that a single qubit might lose to errors and noise.

On classical computers, the concept of redundancy is pretty straightforward. Classical error correction involves storing the same piece of information across multiple bits. Instead of storing a 1 as a 1 or a 0 as a 0, the computer might record 11111 or 00000. That way, if an error flips a minority of bits, the computer can treat 11001 as 1, or 10001 as 0. It’s fairly easy to build in more redundancy as needed to introduce finer error correction.

Things are more complicated on quantum computers. Quantum information cannot be copied and pasted like classical information, and the information stored in quantum bits is more complicated than classical data. And of course, qubits can decohere quickly, forgetting their stored information.

Research has shown that quantum fault tolerance is possible, and there are many error correcting schemes on the books. The most popular one is called the “surface code,” where qubits are arranged on a two-dimensional lattice and units of information are encoded into sub-units of the lattice.

But these schemes have problems.

First, they only work if the hardware’s error rates are better than some threshold determined by the specific scheme and the properties of the noise itself — and beating those thresholds can be a challenge.

Second, many of those schemes scale inefficiently — as you build larger quantum computers, the number of extra qubits needed for error correction far outpaces the number of qubits the code can store.

At practical code sizes where many errors can be corrected, the surface code uses hundreds of physical qubits per encoded qubit worth of quantum information, or more. So, while the surface code is useful for benchmarking and learning about error correction, it’s probably not the end of the story for fault-tolerant quantum computers.

Exploring “good” codes

The field of error correction buzzed with excitement in 2022 when Pavel Panteleev and Gleb Kalachev at Moscow State University published a landmark paper proving that there exist asymptotically good codes — codes where the number of extra qubits needed levels off as the quality of the code increases.

This has spurred a lot of new work in error correction, especially in the same family of codes that the surface code hails from, called quantum low-density parity check, or qLDPC codes. These qLDPC codes are quantum error correcting codes where the operations responsible for checking whether or not an error has occurred only have to act on a few qubits, and each qubit only has to participate in a few checks.

But this work was highly theoretical, focused on proving the possibility of this kind of error correction. It didn’t take into account the real constraints of building quantum computers. Most importantly, some qLDPC codes would require many qubits in a system to be physically linked to high numbers of other qubits. In practice, that would require quantum processors folded in on themselves in psychedelic hyper-dimensional origami, or entombed in wildly complex rats’ nests of wires.

In our paper, we looked for fault-tolerant quantum memory with a low qubit overhead, high error threshold, and a large code distance.

Bravyi, S., Cross, A., Gambetta, J., et al. High-threshold and low-overhead fault-tolerant quantum memory. Nature (2024). https://doi.org/10.1038/s41586-024-07107-7

In our Nature paper, we specifically looked for fault-tolerant quantum memory with a low qubit overhead, high error threshold, and a large code distance.

Let’s break that down:

Fault-tolerant: The circuits used to detect errors won't spread those errors around too badly in the process, and they can be corrected faster than they occur

Quantum memory: In this paper, we are only encoding and storing quantum information. We are not yet doing calculations on the encoded quantum information.

High error threshold: The higher the threshold, the higher amount of hardware errors the code will allow while still being fault tolerant. We were looking for a code that allowed us to operate the memory reliably at physical error rates as high as 0.001, so we wanted a threshold close to 1 percent.

Large code distance: Distance is the measure of how robust the code is — how many errors it takes to completely flip the value from 0 to 1 and vice versa. In the case of 00000 and 11111, the distance is 5. We wanted one with a large code distance that corrects more than just a couple errors. Large-distance codes can suppress noise by orders of magnitude even if the hardware quality is only marginally better than the code threshold. In contrast, codes with a small distance become useful only if the hardware quality is significantly better than the code threshold.

Low qubit overhead: Overhead is the number of extra qubits required for correcting errors. We want the number of qubits required to do error correction to be far less than we need for a surface code of the same quality, or distance.

We’re excited to report that our team’s mathematical analysis found concrete examples of qLDPC codes that met all of these required conditions. These fall into a family of codes called “Bivariate Bicycle (BB)” codes. And they are going to shape not only our research going forward, but how we architect physical quantum systems.

The gross code

While many qLDPC code families show great promise for advancing error correction theory, most aren’t necessarily pragmatic for real-world application. Our new codes lend themselves better to practical implementation because each qubit needs only to connect to six others, and the connections can be routed on just two layers.

To get an idea of how the qubits are connected, imagine they are put onto a square grid, like a piece of graph paper. Curl up this piece of graph paper so that it forms a tube, and connect the ends of the tube to make a donut. On this donut, each qubit is connected to its four neighbors and two qubits that are farther away on the surface of the donut. No more connections needed.

The good news is we don’t actually have to embed our qubits onto a donut to make these codes work — we can accomplish this by folding the surface differently and adding a few other long-range connectors to satisfy mathematical requirements of the code. It’s an engineering challenge, but much more feasible than a hyper-dimensional shape.

We explored some codes that have this architecture and focused on a particular [[144,12,12]] code. We call this code the gross code because 144 is a gross (or a dozen dozen). It requires 144 qubits to store data — but in our specific implementation, it also uses another 144 qubits to check for errors, so this instance of the code uses 288 qubits. It stores 12 logical qubits well enough that fewer than 12 errors can be detected. Thus: [[144,12,12]].

Using the gross code, you can protect 12 logical qubits for roughly a million cycles of error checks using 288 qubits. Doing roughly the same task with the surface code would require nearly 3,000 qubits.

This is a milestone. We are still looking for qLDPC codes with even more efficient architectures, and our research on performing error-corrected calculations using these codes is ongoing. But with this publication, the future of error correction looks bright.

Fig. 1 | Tanner graphs of surface and BB codes.

Fig. 1 | Tanner graphs of surface and BB codes. a, Tanner graph of a surface code, for comparison. b, Tanner graph of a BB code with parameters [[144, 12, 12]] embedded into a torus. Any edge of the Tanner graph connects a data and a check vertex. Data qubits associated with the registers q(L) and q(R) are shown by blue and orange circles. Each vertex has six incident edges including four short-range edges (pointing north, south, east and west) and two long-range edges. We only show a few long-range edges to avoid clutter. Dashed and solid edges indicate two planar subgraphs spanning the Tanner graph, see the Methods. c, Sketch of a Tanner graph extension for measuring Z ˉ \={Z} and X ˉ \={X} following ref. 50, attaching to a surface code. The ancilla corresponding to the X ˉ \={X} measurement can be connected to a surface code, enabling load-store operations for all logical qubits by means of quantum teleportation and some logical unitaries. This extended Tanner graph also has an implementation in a thickness-2 architecture through the A and B edges (Methods).

Fig. 2 | Syndrome measurement circuit.

Fig. 2 | Syndrome measurement circuit. Full cycle of syndrome measurements relying on seven layers of CNOTs. We provide a local view of the circuit that only includes one data qubit from each register q(L) and q(R) . The circuit is symmetric under horizontal and vertical shifts of the Tanner graph. Each data qubit is coupled by CNOTs with three X-check and three Z-check qubits: see the Methods for more details.

Why error correction matters

Today, our users benefit from novel error mitigation techniques — methods for reducing or eliminating the effect of noise when calculating observables, alongside our work suppressing errors at the hardware level. This work brought us into the era of quantum utility. IBM researchers and partners all over the world are exploring practical applications of quantum computing today with existing quantum systems. Error mitigation lets users begin looking for quantum advantage on real quantum hardware.

But error mitigation comes with its own overhead, requiring running the same executions repeatedly so that classical computers can use statistical methods to extract an accurate result. This limits the scale of the programs you can run, and increasing that scale requires tools beyond error mitigation — like error correction.

Last year, we debuted a new roadmap laying out our plan to continuously improve quantum computers over the next decade. This new paper is an important example of how we plan to continuously increasing the complexity (number of gates) of the quantum circuits that can be run on our hardware. It will allow us to transition from running circuits with 15,000 gates to 100 million, or even 1 billion gates.

Bravyi, S., Cross, A.W., Gambetta, J.M. et al. High-threshold and low-overhead fault-tolerant quantum memory. Nature 627, 778–782 (2024). https://doi.org/10.1038/s41586-024-07107-7

Start using our 100+ qubit systems

Keep exploring, computing with error-corrected quantum computers.

Logical gates with magic state distillation

Error correcting codes for near-term quantum computers

A new paper from IBM and UC Berkeley shows a path toward useful quantum computing

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• Open access
• Published: 26 March 2024

Predicting and improving complex beer flavor through machine learning

• Michiel Schreurs   ORCID: orcid.org/0000-0002-9449-5619 1 , 2 , 3   na1 ,
• Supinya Piampongsant 1 , 2 , 3   na1 ,
• Miguel Roncoroni   ORCID: orcid.org/0000-0001-7461-1427 1 , 2 , 3   na1 ,
• Lloyd Cool   ORCID: orcid.org/0000-0001-9936-3124 1 , 2 , 3 , 4 ,
• Beatriz Herrera-Malaver   ORCID: orcid.org/0000-0002-5096-9974 1 , 2 , 3 ,
• Christophe Vanderaa   ORCID: orcid.org/0000-0001-7443-5427 4 ,
• Florian A. Theßeling 1 , 2 , 3 ,
• Łukasz Kreft   ORCID: orcid.org/0000-0001-7620-4657 5 ,
• Alexander Botzki   ORCID: orcid.org/0000-0001-6691-4233 5 ,
• Philippe Malcorps 6 ,
• Luk Daenen 6 ,
• Tom Wenseleers   ORCID: orcid.org/0000-0002-1434-861X 4 &
• Kevin J. Verstrepen   ORCID: orcid.org/0000-0002-3077-6219 1 , 2 , 3  

Nature Communications volume  15 , Article number:  2368 ( 2024 ) Cite this article

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• Chemical engineering
• Gas chromatography
• Machine learning
• Metabolomics
• Taste receptors

The perception and appreciation of food flavor depends on many interacting chemical compounds and external factors, and therefore proves challenging to understand and predict. Here, we combine extensive chemical and sensory analyses of 250 different beers to train machine learning models that allow predicting flavor and consumer appreciation. For each beer, we measure over 200 chemical properties, perform quantitative descriptive sensory analysis with a trained tasting panel and map data from over 180,000 consumer reviews to train 10 different machine learning models. The best-performing algorithm, Gradient Boosting, yields models that significantly outperform predictions based on conventional statistics and accurately predict complex food features and consumer appreciation from chemical profiles. Model dissection allows identifying specific and unexpected compounds as drivers of beer flavor and appreciation. Adding these compounds results in variants of commercial alcoholic and non-alcoholic beers with improved consumer appreciation. Together, our study reveals how big data and machine learning uncover complex links between food chemistry, flavor and consumer perception, and lays the foundation to develop novel, tailored foods with superior flavors.

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Introduction

Predicting and understanding food perception and appreciation is one of the major challenges in food science. Accurate modeling of food flavor and appreciation could yield important opportunities for both producers and consumers, including quality control, product fingerprinting, counterfeit detection, spoilage detection, and the development of new products and product combinations (food pairing) 1 , 2 , 3 , 4 , 5 , 6 . Accurate models for flavor and consumer appreciation would contribute greatly to our scientific understanding of how humans perceive and appreciate flavor. Moreover, accurate predictive models would also facilitate and standardize existing food assessment methods and could supplement or replace assessments by trained and consumer tasting panels, which are variable, expensive and time-consuming 7 , 8 , 9 . Lastly, apart from providing objective, quantitative, accurate and contextual information that can help producers, models can also guide consumers in understanding their personal preferences 10 .

Despite the myriad of applications, predicting food flavor and appreciation from its chemical properties remains a largely elusive goal in sensory science, especially for complex food and beverages 11 , 12 . A key obstacle is the immense number of flavor-active chemicals underlying food flavor. Flavor compounds can vary widely in chemical structure and concentration, making them technically challenging and labor-intensive to quantify, even in the face of innovations in metabolomics, such as non-targeted metabolic fingerprinting 13 , 14 . Moreover, sensory analysis is perhaps even more complicated. Flavor perception is highly complex, resulting from hundreds of different molecules interacting at the physiochemical and sensorial level. Sensory perception is often non-linear, characterized by complex and concentration-dependent synergistic and antagonistic effects 15 , 16 , 17 , 18 , 19 , 20 , 21 that are further convoluted by the genetics, environment, culture and psychology of consumers 22 , 23 , 24 . Perceived flavor is therefore difficult to measure, with problems of sensitivity, accuracy, and reproducibility that can only be resolved by gathering sufficiently large datasets 25 . Trained tasting panels are considered the prime source of quality sensory data, but require meticulous training, are low throughput and high cost. Public databases containing consumer reviews of food products could provide a valuable alternative, especially for studying appreciation scores, which do not require formal training 25 . Public databases offer the advantage of amassing large amounts of data, increasing the statistical power to identify potential drivers of appreciation. However, public datasets suffer from biases, including a bias in the volunteers that contribute to the database, as well as confounding factors such as price, cult status and psychological conformity towards previous ratings of the product.

Classical multivariate statistics and machine learning methods have been used to predict flavor of specific compounds by, for example, linking structural properties of a compound to its potential biological activities or linking concentrations of specific compounds to sensory profiles 1 , 26 . Importantly, most previous studies focused on predicting organoleptic properties of single compounds (often based on their chemical structure) 27 , 28 , 29 , 30 , 31 , 32 , 33 , thus ignoring the fact that these compounds are present in a complex matrix in food or beverages and excluding complex interactions between compounds. Moreover, the classical statistics commonly used in sensory science 34 , 35 , 36 , 37 , 38 , 39 require a large sample size and sufficient variance amongst predictors to create accurate models. They are not fit for studying an extensive set of hundreds of interacting flavor compounds, since they are sensitive to outliers, have a high tendency to overfit and are less suited for non-linear and discontinuous relationships 40 .

In this study, we combine extensive chemical analyses and sensory data of a set of different commercial beers with machine learning approaches to develop models that predict taste, smell, mouthfeel and appreciation from compound concentrations. Beer is particularly suited to model the relationship between chemistry, flavor and appreciation. First, beer is a complex product, consisting of thousands of flavor compounds that partake in complex sensory interactions 41 , 42 , 43 . This chemical diversity arises from the raw materials (malt, yeast, hops, water and spices) and biochemical conversions during the brewing process (kilning, mashing, boiling, fermentation, maturation and aging) 44 , 45 . Second, the advent of the internet saw beer consumers embrace online review platforms, such as RateBeer (ZX Ventures, Anheuser-Busch InBev SA/NV) and BeerAdvocate (Next Glass, inc.). In this way, the beer community provides massive data sets of beer flavor and appreciation scores, creating extraordinarily large sensory databases to complement the analyses of our professional sensory panel. Specifically, we characterize over 200 chemical properties of 250 commercial beers, spread across 22 beer styles, and link these to the descriptive sensory profiling data of a 16-person in-house trained tasting panel and data acquired from over 180,000 public consumer reviews. These unique and extensive datasets enable us to train a suite of machine learning models to predict flavor and appreciation from a beer’s chemical profile. Dissection of the best-performing models allows us to pinpoint specific compounds as potential drivers of beer flavor and appreciation. Follow-up experiments confirm the importance of these compounds and ultimately allow us to significantly improve the flavor and appreciation of selected commercial beers. Together, our study represents a significant step towards understanding complex flavors and reinforces the value of machine learning to develop and refine complex foods. In this way, it represents a stepping stone for further computer-aided food engineering applications 46 .

To generate a comprehensive dataset on beer flavor, we selected 250 commercial Belgian beers across 22 different beer styles (Supplementary Fig.  S1 ). Beers with ≤ 4.2% alcohol by volume (ABV) were classified as non-alcoholic and low-alcoholic. Blonds and Tripels constitute a significant portion of the dataset (12.4% and 11.2%, respectively) reflecting their presence on the Belgian beer market and the heterogeneity of beers within these styles. By contrast, lager beers are less diverse and dominated by a handful of brands. Rare styles such as Brut or Faro make up only a small fraction of the dataset (2% and 1%, respectively) because fewer of these beers are produced and because they are dominated by distinct characteristics in terms of flavor and chemical composition.

Extensive analysis identifies relationships between chemical compounds in beer

For each beer, we measured 226 different chemical properties, including common brewing parameters such as alcohol content, iso-alpha acids, pH, sugar concentration 47 , and over 200 flavor compounds (Methods, Supplementary Table  S1 ). A large portion (37.2%) are terpenoids arising from hopping, responsible for herbal and fruity flavors 16 , 48 . A second major category are yeast metabolites, such as esters and alcohols, that result in fruity and solvent notes 48 , 49 , 50 . Other measured compounds are primarily derived from malt, or other microbes such as non- Saccharomyces yeasts and bacteria (‘wild flora’). Compounds that arise from spices or staling are labeled under ‘Others’. Five attributes (caloric value, total acids and total ester, hop aroma and sulfur compounds) are calculated from multiple individually measured compounds.

As a first step in identifying relationships between chemical properties, we determined correlations between the concentrations of the compounds (Fig.  1 , upper panel, Supplementary Data  1 and 2 , and Supplementary Fig.  S2 . For the sake of clarity, only a subset of the measured compounds is shown in Fig.  1 ). Compounds of the same origin typically show a positive correlation, while absence of correlation hints at parameters varying independently. For example, the hop aroma compounds citronellol, and alpha-terpineol show moderate correlations with each other (Spearman’s rho=0.39 and 0.57), but not with the bittering hop component iso-alpha acids (Spearman’s rho=0.16 and −0.07). This illustrates how brewers can independently modify hop aroma and bitterness by selecting hop varieties and dosage time. If hops are added early in the boiling phase, chemical conversions increase bitterness while aromas evaporate, conversely, late addition of hops preserves aroma but limits bitterness 51 . Similarly, hop-derived iso-alpha acids show a strong anti-correlation with lactic acid and acetic acid, likely reflecting growth inhibition of lactic acid and acetic acid bacteria, or the consequent use of fewer hops in sour beer styles, such as West Flanders ales and Fruit beers, that rely on these bacteria for their distinct flavors 52 . Finally, yeast-derived esters (ethyl acetate, ethyl decanoate, ethyl hexanoate, ethyl octanoate) and alcohols (ethanol, isoamyl alcohol, isobutanol, and glycerol), correlate with Spearman coefficients above 0.5, suggesting that these secondary metabolites are correlated with the yeast genetic background and/or fermentation parameters and may be difficult to influence individually, although the choice of yeast strain may offer some control 53 .

Spearman rank correlations are shown. Descriptors are grouped according to their origin (malt (blue), hops (green), yeast (red), wild flora (yellow), Others (black)), and sensory aspect (aroma, taste, palate, and overall appreciation). Please note that for the chemical compounds, for the sake of clarity, only a subset of the total number of measured compounds is shown, with an emphasis on the key compounds for each source. For more details, see the main text and Methods section. Chemical data can be found in Supplementary Data  1 , correlations between all chemical compounds are depicted in Supplementary Fig.  S2 and correlation values can be found in Supplementary Data  2 . See Supplementary Data  4 for sensory panel assessments and Supplementary Data  5 for correlation values between all sensory descriptors.

Interestingly, different beer styles show distinct patterns for some flavor compounds (Supplementary Fig.  S3 ). These observations agree with expectations for key beer styles, and serve as a control for our measurements. For instance, Stouts generally show high values for color (darker), while hoppy beers contain elevated levels of iso-alpha acids, compounds associated with bitter hop taste. Acetic and lactic acid are not prevalent in most beers, with notable exceptions such as Kriek, Lambic, Faro, West Flanders ales and Flanders Old Brown, which use acid-producing bacteria ( Lactobacillus and Pediococcus ) or unconventional yeast ( Brettanomyces ) 54 , 55 . Glycerol, ethanol and esters show similar distributions across all beer styles, reflecting their common origin as products of yeast metabolism during fermentation 45 , 53 . Finally, low/no-alcohol beers contain low concentrations of glycerol and esters. This is in line with the production process for most of the low/no-alcohol beers in our dataset, which are produced through limiting fermentation or by stripping away alcohol via evaporation or dialysis, with both methods having the unintended side-effect of reducing the amount of flavor compounds in the final beer 56 , 57 .

Besides expected associations, our data also reveals less trivial associations between beer styles and specific parameters. For example, geraniol and citronellol, two monoterpenoids responsible for citrus, floral and rose flavors and characteristic of Citra hops, are found in relatively high amounts in Christmas, Saison, and Brett/co-fermented beers, where they may originate from terpenoid-rich spices such as coriander seeds instead of hops 58 .

Tasting panel assessments reveal sensorial relationships in beer

To assess the sensory profile of each beer, a trained tasting panel evaluated each of the 250 beers for 50 sensory attributes, including different hop, malt and yeast flavors, off-flavors and spices. Panelists used a tasting sheet (Supplementary Data  3 ) to score the different attributes. Panel consistency was evaluated by repeating 12 samples across different sessions and performing ANOVA. In 95% of cases no significant difference was found across sessions ( p  > 0.05), indicating good panel consistency (Supplementary Table  S2 ).

Aroma and taste perception reported by the trained panel are often linked (Fig.  1 , bottom left panel and Supplementary Data  4 and 5 ), with high correlations between hops aroma and taste (Spearman’s rho=0.83). Bitter taste was found to correlate with hop aroma and taste in general (Spearman’s rho=0.80 and 0.69), and particularly with “grassy” noble hops (Spearman’s rho=0.75). Barnyard flavor, most often associated with sour beers, is identified together with stale hops (Spearman’s rho=0.97) that are used in these beers. Lactic and acetic acid, which often co-occur, are correlated (Spearman’s rho=0.66). Interestingly, sweetness and bitterness are anti-correlated (Spearman’s rho = −0.48), confirming the hypothesis that they mask each other 59 , 60 . Beer body is highly correlated with alcohol (Spearman’s rho = 0.79), and overall appreciation is found to correlate with multiple aspects that describe beer mouthfeel (alcohol, carbonation; Spearman’s rho= 0.32, 0.39), as well as with hop and ester aroma intensity (Spearman’s rho=0.39 and 0.35).

Similar to the chemical analyses, sensorial analyses confirmed typical features of specific beer styles (Supplementary Fig.  S4 ). For example, sour beers (Faro, Flanders Old Brown, Fruit beer, Kriek, Lambic, West Flanders ale) were rated acidic, with flavors of both acetic and lactic acid. Hoppy beers were found to be bitter and showed hop-associated aromas like citrus and tropical fruit. Malt taste is most detected among scotch, stout/porters, and strong ales, while low/no-alcohol beers, which often have a reputation for being ‘worty’ (reminiscent of unfermented, sweet malt extract) appear in the middle. Unsurprisingly, hop aromas are most strongly detected among hoppy beers. Like its chemical counterpart (Supplementary Fig.  S3 ), acidity shows a right-skewed distribution, with the most acidic beers being Krieks, Lambics, and West Flanders ales.

Tasting panel assessments of specific flavors correlate with chemical composition

We find that the concentrations of several chemical compounds strongly correlate with specific aroma or taste, as evaluated by the tasting panel (Fig.  2 , Supplementary Fig.  S5 , Supplementary Data  6 ). In some cases, these correlations confirm expectations and serve as a useful control for data quality. For example, iso-alpha acids, the bittering compounds in hops, strongly correlate with bitterness (Spearman’s rho=0.68), while ethanol and glycerol correlate with tasters’ perceptions of alcohol and body, the mouthfeel sensation of fullness (Spearman’s rho=0.82/0.62 and 0.72/0.57 respectively) and darker color from roasted malts is a good indication of malt perception (Spearman’s rho=0.54).

Heatmap colors indicate Spearman’s Rho. Axes are organized according to sensory categories (aroma, taste, mouthfeel, overall), chemical categories and chemical sources in beer (malt (blue), hops (green), yeast (red), wild flora (yellow), Others (black)). See Supplementary Data  6 for all correlation values.

Interestingly, for some relationships between chemical compounds and perceived flavor, correlations are weaker than expected. For example, the rose-smelling phenethyl acetate only weakly correlates with floral aroma. This hints at more complex relationships and interactions between compounds and suggests a need for a more complex model than simple correlations. Lastly, we uncovered unexpected correlations. For instance, the esters ethyl decanoate and ethyl octanoate appear to correlate slightly with hop perception and bitterness, possibly due to their fruity flavor. Iron is anti-correlated with hop aromas and bitterness, most likely because it is also anti-correlated with iso-alpha acids. This could be a sign of metal chelation of hop acids 61 , given that our analyses measure unbound hop acids and total iron content, or could result from the higher iron content in dark and Fruit beers, which typically have less hoppy and bitter flavors 62 .

Public consumer reviews complement expert panel data

To complement and expand the sensory data of our trained tasting panel, we collected 180,000 reviews of our 250 beers from the online consumer review platform RateBeer. This provided numerical scores for beer appearance, aroma, taste, palate, overall quality as well as the average overall score.

Public datasets are known to suffer from biases, such as price, cult status and psychological conformity towards previous ratings of a product. For example, prices correlate with appreciation scores for these online consumer reviews (rho=0.49, Supplementary Fig.  S6 ), but not for our trained tasting panel (rho=0.19). This suggests that prices affect consumer appreciation, which has been reported in wine 63 , while blind tastings are unaffected. Moreover, we observe that some beer styles, like lagers and non-alcoholic beers, generally receive lower scores, reflecting that online reviewers are mostly beer aficionados with a preference for specialty beers over lager beers. In general, we find a modest correlation between our trained panel’s overall appreciation score and the online consumer appreciation scores (Fig.  3 , rho=0.29). Apart from the aforementioned biases in the online datasets, serving temperature, sample freshness and surroundings, which are all tightly controlled during the tasting panel sessions, can vary tremendously across online consumers and can further contribute to (among others, appreciation) differences between the two categories of tasters. Importantly, in contrast to the overall appreciation scores, for many sensory aspects the results from the professional panel correlated well with results obtained from RateBeer reviews. Correlations were highest for features that are relatively easy to recognize even for untrained tasters, like bitterness, sweetness, alcohol and malt aroma (Fig.  3 and below).

RateBeer text mining results can be found in Supplementary Data  7 . Rho values shown are Spearman correlation values, with asterisks indicating significant correlations ( p  < 0.05, two-sided). All p values were smaller than 0.001, except for Esters aroma (0.0553), Esters taste (0.3275), Esters aroma—banana (0.0019), Coriander (0.0508) and Diacetyl (0.0134).

Besides collecting consumer appreciation from these online reviews, we developed automated text analysis tools to gather additional data from review texts (Supplementary Data  7 ). Processing review texts on the RateBeer database yielded comparable results to the scores given by the trained panel for many common sensory aspects, including acidity, bitterness, sweetness, alcohol, malt, and hop tastes (Fig.  3 ). This is in line with what would be expected, since these attributes require less training for accurate assessment and are less influenced by environmental factors such as temperature, serving glass and odors in the environment. Consumer reviews also correlate well with our trained panel for 4-vinyl guaiacol, a compound associated with a very characteristic aroma. By contrast, correlations for more specific aromas like ester, coriander or diacetyl are underrepresented in the online reviews, underscoring the importance of using a trained tasting panel and standardized tasting sheets with explicit factors to be scored for evaluating specific aspects of a beer. Taken together, our results suggest that public reviews are trustworthy for some, but not all, flavor features and can complement or substitute taste panel data for these sensory aspects.

Models can predict beer sensory profiles from chemical data

The rich datasets of chemical analyses, tasting panel assessments and public reviews gathered in the first part of this study provided us with a unique opportunity to develop predictive models that link chemical data to sensorial features. Given the complexity of beer flavor, basic statistical tools such as correlations or linear regression may not always be the most suitable for making accurate predictions. Instead, we applied different machine learning models that can model both simple linear and complex interactive relationships. Specifically, we constructed a set of regression models to predict (a) trained panel scores for beer flavor and quality and (b) public reviews’ appreciation scores from beer chemical profiles. We trained and tested 10 different models (Methods), 3 linear regression-based models (simple linear regression with first-order interactions (LR), lasso regression with first-order interactions (Lasso), partial least squares regressor (PLSR)), 5 decision tree models (AdaBoost regressor (ABR), extra trees (ET), gradient boosting regressor (GBR), random forest (RF) and XGBoost regressor (XGBR)), 1 support vector regression (SVR), and 1 artificial neural network (ANN) model.

To compare the performance of our machine learning models, the dataset was randomly split into a training and test set, stratified by beer style. After a model was trained on data in the training set, its performance was evaluated on its ability to predict the test dataset obtained from multi-output models (based on the coefficient of determination, see Methods). Additionally, individual-attribute models were ranked per descriptor and the average rank was calculated, as proposed by Korneva et al. 64 . Importantly, both ways of evaluating the models’ performance agreed in general. Performance of the different models varied (Table  1 ). It should be noted that all models perform better at predicting RateBeer results than results from our trained tasting panel. One reason could be that sensory data is inherently variable, and this variability is averaged out with the large number of public reviews from RateBeer. Additionally, all tree-based models perform better at predicting taste than aroma. Linear models (LR) performed particularly poorly, with negative R 2 values, due to severe overfitting (training set R 2  = 1). Overfitting is a common issue in linear models with many parameters and limited samples, especially with interaction terms further amplifying the number of parameters. L1 regularization (Lasso) successfully overcomes this overfitting, out-competing multiple tree-based models on the RateBeer dataset. Similarly, the dimensionality reduction of PLSR avoids overfitting and improves performance, to some extent. Still, tree-based models (ABR, ET, GBR, RF and XGBR) show the best performance, out-competing the linear models (LR, Lasso, PLSR) commonly used in sensory science 65 .

GBR models showed the best overall performance in predicting sensory responses from chemical information, with R 2 values up to 0.75 depending on the predicted sensory feature (Supplementary Table  S4 ). The GBR models predict consumer appreciation (RateBeer) better than our trained panel’s appreciation (R 2 value of 0.67 compared to R 2 value of 0.09) (Supplementary Table  S3 and Supplementary Table  S4 ). ANN models showed intermediate performance, likely because neural networks typically perform best with larger datasets 66 . The SVR shows intermediate performance, mostly due to the weak predictions of specific attributes that lower the overall performance (Supplementary Table  S4 ).

Model dissection identifies specific, unexpected compounds as drivers of consumer appreciation

Next, we leveraged our models to infer important contributors to sensory perception and consumer appreciation. Consumer preference is a crucial sensory aspects, because a product that shows low consumer appreciation scores often does not succeed commercially 25 . Additionally, the requirement for a large number of representative evaluators makes consumer trials one of the more costly and time-consuming aspects of product development. Hence, a model for predicting chemical drivers of overall appreciation would be a welcome addition to the available toolbox for food development and optimization.

Since GBR models on our RateBeer dataset showed the best overall performance, we focused on these models. Specifically, we used two approaches to identify important contributors. First, rankings of the most important predictors for each sensorial trait in the GBR models were obtained based on impurity-based feature importance (mean decrease in impurity). High-ranked parameters were hypothesized to be either the true causal chemical properties underlying the trait, to correlate with the actual causal properties, or to take part in sensory interactions affecting the trait 67 (Fig.  4A ). In a second approach, we used SHAP 68 to determine which parameters contributed most to the model for making predictions of consumer appreciation (Fig.  4B ). SHAP calculates parameter contributions to model predictions on a per-sample basis, which can be aggregated into an importance score.

A The impurity-based feature importance (mean deviance in impurity, MDI) calculated from the Gradient Boosting Regression (GBR) model predicting RateBeer appreciation scores. The top 15 highest ranked chemical properties are shown. B SHAP summary plot for the top 15 parameters contributing to our GBR model. Each point on the graph represents a sample from our dataset. The color represents the concentration of that parameter, with bluer colors representing low values and redder colors representing higher values. Greater absolute values on the horizontal axis indicate a higher impact of the parameter on the prediction of the model. C Spearman correlations between the 15 most important chemical properties and consumer overall appreciation. Numbers indicate the Spearman Rho correlation coefficient, and the rank of this correlation compared to all other correlations. The top 15 important compounds were determined using SHAP (panel B).

Both approaches identified ethyl acetate as the most predictive parameter for beer appreciation (Fig.  4 ). Ethyl acetate is the most abundant ester in beer with a typical ‘fruity’, ‘solvent’ and ‘alcoholic’ flavor, but is often considered less important than other esters like isoamyl acetate. The second most important parameter identified by SHAP is ethanol, the most abundant beer compound after water. Apart from directly contributing to beer flavor and mouthfeel, ethanol drastically influences the physical properties of beer, dictating how easily volatile compounds escape the beer matrix to contribute to beer aroma 69 . Importantly, it should also be noted that the importance of ethanol for appreciation is likely inflated by the very low appreciation scores of non-alcoholic beers (Supplementary Fig.  S4 ). Despite not often being considered a driver of beer appreciation, protein level also ranks highly in both approaches, possibly due to its effect on mouthfeel and body 70 . Lactic acid, which contributes to the tart taste of sour beers, is the fourth most important parameter identified by SHAP, possibly due to the generally high appreciation of sour beers in our dataset.

Interestingly, some of the most important predictive parameters for our model are not well-established as beer flavors or are even commonly regarded as being negative for beer quality. For example, our models identify methanethiol and ethyl phenyl acetate, an ester commonly linked to beer staling 71 , as a key factor contributing to beer appreciation. Although there is no doubt that high concentrations of these compounds are considered unpleasant, the positive effects of modest concentrations are not yet known 72 , 73 .

To compare our approach to conventional statistics, we evaluated how well the 15 most important SHAP-derived parameters correlate with consumer appreciation (Fig.  4C ). Interestingly, only 6 of the properties derived by SHAP rank amongst the top 15 most correlated parameters. For some chemical compounds, the correlations are so low that they would have likely been considered unimportant. For example, lactic acid, the fourth most important parameter, shows a bimodal distribution for appreciation, with sour beers forming a separate cluster, that is missed entirely by the Spearman correlation. Additionally, the correlation plots reveal outliers, emphasizing the need for robust analysis tools. Together, this highlights the need for alternative models, like the Gradient Boosting model, that better grasp the complexity of (beer) flavor.

Finally, to observe the relationships between these chemical properties and their predicted targets, partial dependence plots were constructed for the six most important predictors of consumer appreciation 74 , 75 , 76 (Supplementary Fig.  S7 ). One-way partial dependence plots show how a change in concentration affects the predicted appreciation. These plots reveal an important limitation of our models: appreciation predictions remain constant at ever-increasing concentrations. This implies that once a threshold concentration is reached, further increasing the concentration does not affect appreciation. This is false, as it is well-documented that certain compounds become unpleasant at high concentrations, including ethyl acetate (‘nail polish’) 77 and methanethiol (‘sulfury’ and ‘rotten cabbage’) 78 . The inability of our models to grasp that flavor compounds have optimal levels, above which they become negative, is a consequence of working with commercial beer brands where (off-)flavors are rarely too high to negatively impact the product. The two-way partial dependence plots show how changing the concentration of two compounds influences predicted appreciation, visualizing their interactions (Supplementary Fig.  S7 ). In our case, the top 5 parameters are dominated by additive or synergistic interactions, with high concentrations for both compounds resulting in the highest predicted appreciation.

To assess the robustness of our best-performing models and model predictions, we performed 100 iterations of the GBR, RF and ET models. In general, all iterations of the models yielded similar performance (Supplementary Fig.  S8 ). Moreover, the main predictors (including the top predictors ethanol and ethyl acetate) remained virtually the same, especially for GBR and RF. For the iterations of the ET model, we did observe more variation in the top predictors, which is likely a consequence of the model’s inherent random architecture in combination with co-correlations between certain predictors. However, even in this case, several of the top predictors (ethanol and ethyl acetate) remain unchanged, although their rank in importance changes (Supplementary Fig.  S8 ).

Next, we investigated if a combination of RateBeer and trained panel data into one consolidated dataset would lead to stronger models, under the hypothesis that such a model would suffer less from bias in the datasets. A GBR model was trained to predict appreciation on the combined dataset. This model underperformed compared to the RateBeer model, both in the native case and when including a dataset identifier (R 2  = 0.67, 0.26 and 0.42 respectively). For the latter, the dataset identifier is the most important feature (Supplementary Fig.  S9 ), while most of the feature importance remains unchanged, with ethyl acetate and ethanol ranking highest, like in the original model trained only on RateBeer data. It seems that the large variation in the panel dataset introduces noise, weakening the models’ performances and reliability. In addition, it seems reasonable to assume that both datasets are fundamentally different, with the panel dataset obtained by blind tastings by a trained professional panel.

Lastly, we evaluated whether beer style identifiers would further enhance the model’s performance. A GBR model was trained with parameters that explicitly encoded the styles of the samples. This did not improve model performance (R2 = 0.66 with style information vs R2 = 0.67). The most important chemical features are consistent with the model trained without style information (eg. ethanol and ethyl acetate), and with the exception of the most preferred (strong ale) and least preferred (low/no-alcohol) styles, none of the styles were among the most important features (Supplementary Fig.  S9 , Supplementary Table  S5 and S6 ). This is likely due to a combination of style-specific chemical signatures, such as iso-alpha acids and lactic acid, that implicitly convey style information to the original models, as well as the low number of samples belonging to some styles, making it difficult for the model to learn style-specific patterns. Moreover, beer styles are not rigorously defined, with some styles overlapping in features and some beers being misattributed to a specific style, all of which leads to more noise in models that use style parameters.

Model validation

To test if our predictive models give insight into beer appreciation, we set up experiments aimed at improving existing commercial beers. We specifically selected overall appreciation as the trait to be examined because of its complexity and commercial relevance. Beer flavor comprises a complex bouquet rather than single aromas and tastes 53 . Hence, adding a single compound to the extent that a difference is noticeable may lead to an unbalanced, artificial flavor. Therefore, we evaluated the effect of combinations of compounds. Because Blond beers represent the most extensive style in our dataset, we selected a beer from this style as the starting material for these experiments (Beer 64 in Supplementary Data  1 ).

In the first set of experiments, we adjusted the concentrations of compounds that made up the most important predictors of overall appreciation (ethyl acetate, ethanol, lactic acid, ethyl phenyl acetate) together with correlated compounds (ethyl hexanoate, isoamyl acetate, glycerol), bringing them up to 95 th percentile ethanol-normalized concentrations (Methods) within the Blond group (‘Spiked’ concentration in Fig.  5A ). Compared to controls, the spiked beers were found to have significantly improved overall appreciation among trained panelists, with panelist noting increased intensity of ester flavors, sweetness, alcohol, and body fullness (Fig.  5B ). To disentangle the contribution of ethanol to these results, a second experiment was performed without the addition of ethanol. This resulted in a similar outcome, including increased perception of alcohol and overall appreciation.

Adding the top chemical compounds, identified as best predictors of appreciation by our model, into poorly appreciated beers results in increased appreciation from our trained panel. Results of sensory tests between base beers and those spiked with compounds identified as the best predictors by the model. A Blond and Non/Low-alcohol (0.0% ABV) base beers were brought up to 95th-percentile ethanol-normalized concentrations within each style. B For each sensory attribute, tasters indicated the more intense sample and selected the sample they preferred. The numbers above the bars correspond to the p values that indicate significant changes in perceived flavor (two-sided binomial test: alpha 0.05, n  = 20 or 13).

In a last experiment, we tested whether using the model’s predictions can boost the appreciation of a non-alcoholic beer (beer 223 in Supplementary Data  1 ). Again, the addition of a mixture of predicted compounds (omitting ethanol, in this case) resulted in a significant increase in appreciation, body, ester flavor and sweetness.

Predicting flavor and consumer appreciation from chemical composition is one of the ultimate goals of sensory science. A reliable, systematic and unbiased way to link chemical profiles to flavor and food appreciation would be a significant asset to the food and beverage industry. Such tools would substantially aid in quality control and recipe development, offer an efficient and cost-effective alternative to pilot studies and consumer trials and would ultimately allow food manufacturers to produce superior, tailor-made products that better meet the demands of specific consumer groups more efficiently.

A limited set of studies have previously tried, to varying degrees of success, to predict beer flavor and beer popularity based on (a limited set of) chemical compounds and flavors 79 , 80 . Current sensitive, high-throughput technologies allow measuring an unprecedented number of chemical compounds and properties in a large set of samples, yielding a dataset that can train models that help close the gaps between chemistry and flavor, even for a complex natural product like beer. To our knowledge, no previous research gathered data at this scale (250 samples, 226 chemical parameters, 50 sensory attributes and 5 consumer scores) to disentangle and validate the chemical aspects driving beer preference using various machine-learning techniques. We find that modern machine learning models outperform conventional statistical tools, such as correlations and linear models, and can successfully predict flavor appreciation from chemical composition. This could be attributed to the natural incorporation of interactions and non-linear or discontinuous effects in machine learning models, which are not easily grasped by the linear model architecture. While linear models and partial least squares regression represent the most widespread statistical approaches in sensory science, in part because they allow interpretation 65 , 81 , 82 , modern machine learning methods allow for building better predictive models while preserving the possibility to dissect and exploit the underlying patterns. Of the 10 different models we trained, tree-based models, such as our best performing GBR, showed the best overall performance in predicting sensory responses from chemical information, outcompeting artificial neural networks. This agrees with previous reports for models trained on tabular data 83 . Our results are in line with the findings of Colantonio et al. who also identified the gradient boosting architecture as performing best at predicting appreciation and flavor (of tomatoes and blueberries, in their specific study) 26 . Importantly, besides our larger experimental scale, we were able to directly confirm our models’ predictions in vivo.

Our study confirms that flavor compound concentration does not always correlate with perception, suggesting complex interactions that are often missed by more conventional statistics and simple models. Specifically, we find that tree-based algorithms may perform best in developing models that link complex food chemistry with aroma. Furthermore, we show that massive datasets of untrained consumer reviews provide a valuable source of data, that can complement or even replace trained tasting panels, especially for appreciation and basic flavors, such as sweetness and bitterness. This holds despite biases that are known to occur in such datasets, such as price or conformity bias. Moreover, GBR models predict taste better than aroma. This is likely because taste (e.g. bitterness) often directly relates to the corresponding chemical measurements (e.g., iso-alpha acids), whereas such a link is less clear for aromas, which often result from the interplay between multiple volatile compounds. We also find that our models are best at predicting acidity and alcohol, likely because there is a direct relation between the measured chemical compounds (acids and ethanol) and the corresponding perceived sensorial attribute (acidity and alcohol), and because even untrained consumers are generally able to recognize these flavors and aromas.

The predictions of our final models, trained on review data, hold even for blind tastings with small groups of trained tasters, as demonstrated by our ability to validate specific compounds as drivers of beer flavor and appreciation. Since adding a single compound to the extent of a noticeable difference may result in an unbalanced flavor profile, we specifically tested our identified key drivers as a combination of compounds. While this approach does not allow us to validate if a particular single compound would affect flavor and/or appreciation, our experiments do show that this combination of compounds increases consumer appreciation.

It is important to stress that, while it represents an important step forward, our approach still has several major limitations. A key weakness of the GBR model architecture is that amongst co-correlating variables, the largest main effect is consistently preferred for model building. As a result, co-correlating variables often have artificially low importance scores, both for impurity and SHAP-based methods, like we observed in the comparison to the more randomized Extra Trees models. This implies that chemicals identified as key drivers of a specific sensory feature by GBR might not be the true causative compounds, but rather co-correlate with the actual causative chemical. For example, the high importance of ethyl acetate could be (partially) attributed to the total ester content, ethanol or ethyl hexanoate (rho=0.77, rho=0.72 and rho=0.68), while ethyl phenylacetate could hide the importance of prenyl isobutyrate and ethyl benzoate (rho=0.77 and rho=0.76). Expanding our GBR model to include beer style as a parameter did not yield additional power or insight. This is likely due to style-specific chemical signatures, such as iso-alpha acids and lactic acid, that implicitly convey style information to the original model, as well as the smaller sample size per style, limiting the power to uncover style-specific patterns. This can be partly attributed to the curse of dimensionality, where the high number of parameters results in the models mainly incorporating single parameter effects, rather than complex interactions such as style-dependent effects 67 . A larger number of samples may overcome some of these limitations and offer more insight into style-specific effects. On the other hand, beer style is not a rigid scientific classification, and beers within one style often differ a lot, which further complicates the analysis of style as a model factor.

Our study is limited to beers from Belgian breweries. Although these beers cover a large portion of the beer styles available globally, some beer styles and consumer patterns may be missing, while other features might be overrepresented. For example, many Belgian ales exhibit yeast-driven flavor profiles, which is reflected in the chemical drivers of appreciation discovered by this study. In future work, expanding the scope to include diverse markets and beer styles could lead to the identification of even more drivers of appreciation and better models for special niche products that were not present in our beer set.

In addition to inherent limitations of GBR models, there are also some limitations associated with studying food aroma. Even if our chemical analyses measured most of the known aroma compounds, the total number of flavor compounds in complex foods like beer is still larger than the subset we were able to measure in this study. For example, hop-derived thiols, that influence flavor at very low concentrations, are notoriously difficult to measure in a high-throughput experiment. Moreover, consumer perception remains subjective and prone to biases that are difficult to avoid. It is also important to stress that the models are still immature and that more extensive datasets will be crucial for developing more complete models in the future. Besides more samples and parameters, our dataset does not include any demographic information about the tasters. Including such data could lead to better models that grasp external factors like age and culture. Another limitation is that our set of beers consists of high-quality end-products and lacks beers that are unfit for sale, which limits the current model in accurately predicting products that are appreciated very badly. Finally, while models could be readily applied in quality control, their use in sensory science and product development is restrained by their inability to discern causal relationships. Given that the models cannot distinguish compounds that genuinely drive consumer perception from those that merely correlate, validation experiments are essential to identify true causative compounds.

Despite the inherent limitations, dissection of our models enabled us to pinpoint specific molecules as potential drivers of beer aroma and consumer appreciation, including compounds that were unexpected and would not have been identified using standard approaches. Important drivers of beer appreciation uncovered by our models include protein levels, ethyl acetate, ethyl phenyl acetate and lactic acid. Currently, many brewers already use lactic acid to acidify their brewing water and ensure optimal pH for enzymatic activity during the mashing process. Our results suggest that adding lactic acid can also improve beer appreciation, although its individual effect remains to be tested. Interestingly, ethanol appears to be unnecessary to improve beer appreciation, both for blond beer and alcohol-free beer. Given the growing consumer interest in alcohol-free beer, with a predicted annual market growth of >7% 84 , it is relevant for brewers to know what compounds can further increase consumer appreciation of these beers. Hence, our model may readily provide avenues to further improve the flavor and consumer appreciation of both alcoholic and non-alcoholic beers, which is generally considered one of the key challenges for future beer production.

Whereas we see a direct implementation of our results for the development of superior alcohol-free beverages and other food products, our study can also serve as a stepping stone for the development of novel alcohol-containing beverages. We want to echo the growing body of scientific evidence for the negative effects of alcohol consumption, both on the individual level by the mutagenic, teratogenic and carcinogenic effects of ethanol 85 , 86 , as well as the burden on society caused by alcohol abuse and addiction. We encourage the use of our results for the production of healthier, tastier products, including novel and improved beverages with lower alcohol contents. Furthermore, we strongly discourage the use of these technologies to improve the appreciation or addictive properties of harmful substances.

The present work demonstrates that despite some important remaining hurdles, combining the latest developments in chemical analyses, sensory analysis and modern machine learning methods offers exciting avenues for food chemistry and engineering. Soon, these tools may provide solutions in quality control and recipe development, as well as new approaches to sensory science and flavor research.

Beer selection

250 commercial Belgian beers were selected to cover the broad diversity of beer styles and corresponding diversity in chemical composition and aroma. See Supplementary Fig.  S1 .

Chemical dataset

Sample preparation.

Beers within their expiration date were purchased from commercial retailers. Samples were prepared in biological duplicates at room temperature, unless explicitly stated otherwise. Bottle pressure was measured with a manual pressure device (Steinfurth Mess-Systeme GmbH) and used to calculate CO 2 concentration. The beer was poured through two filter papers (Macherey-Nagel, 500713032 MN 713 ¼) to remove carbon dioxide and prevent spontaneous foaming. Samples were then prepared for measurements by targeted Headspace-Gas Chromatography-Flame Ionization Detector/Flame Photometric Detector (HS-GC-FID/FPD), Headspace-Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC-MS), colorimetric analysis, enzymatic analysis, Near-Infrared (NIR) analysis, as described in the sections below. The mean values of biological duplicates are reported for each compound.

HS-GC-FID/FPD

HS-GC-FID/FPD (Shimadzu GC 2010 Plus) was used to measure higher alcohols, acetaldehyde, esters, 4-vinyl guaicol, and sulfur compounds. Each measurement comprised 5 ml of sample pipetted into a 20 ml glass vial containing 1.75 g NaCl (VWR, 27810.295). 100 µl of 2-heptanol (Sigma-Aldrich, H3003) (internal standard) solution in ethanol (Fisher Chemical, E/0650DF/C17) was added for a final concentration of 2.44 mg/L. Samples were flushed with nitrogen for 10 s, sealed with a silicone septum, stored at −80 °C and analyzed in batches of 20.

The GC was equipped with a DB-WAXetr column (length, 30 m; internal diameter, 0.32 mm; layer thickness, 0.50 µm; Agilent Technologies, Santa Clara, CA, USA) to the FID and an HP-5 column (length, 30 m; internal diameter, 0.25 mm; layer thickness, 0.25 µm; Agilent Technologies, Santa Clara, CA, USA) to the FPD. N 2 was used as the carrier gas. Samples were incubated for 20 min at 70 °C in the headspace autosampler (Flow rate, 35 cm/s; Injection volume, 1000 µL; Injection mode, split; Combi PAL autosampler, CTC analytics, Switzerland). The injector, FID and FPD temperatures were kept at 250 °C. The GC oven temperature was first held at 50 °C for 5 min and then allowed to rise to 80 °C at a rate of 5 °C/min, followed by a second ramp of 4 °C/min until 200 °C kept for 3 min and a final ramp of (4 °C/min) until 230 °C for 1 min. Results were analyzed with the GCSolution software version 2.4 (Shimadzu, Kyoto, Japan). The GC was calibrated with a 5% EtOH solution (VWR International) containing the volatiles under study (Supplementary Table  S7 ).

HS-SPME-GC-MS

HS-SPME-GC-MS (Shimadzu GCMS-QP-2010 Ultra) was used to measure additional volatile compounds, mainly comprising terpenoids and esters. Samples were analyzed by HS-SPME using a triphase DVB/Carboxen/PDMS 50/30 μm SPME fiber (Supelco Co., Bellefonte, PA, USA) followed by gas chromatography (Thermo Fisher Scientific Trace 1300 series, USA) coupled to a mass spectrometer (Thermo Fisher Scientific ISQ series MS) equipped with a TriPlus RSH autosampler. 5 ml of degassed beer sample was placed in 20 ml vials containing 1.75 g NaCl (VWR, 27810.295). 5 µl internal standard mix was added, containing 2-heptanol (1 g/L) (Sigma-Aldrich, H3003), 4-fluorobenzaldehyde (1 g/L) (Sigma-Aldrich, 128376), 2,3-hexanedione (1 g/L) (Sigma-Aldrich, 144169) and guaiacol (1 g/L) (Sigma-Aldrich, W253200) in ethanol (Fisher Chemical, E/0650DF/C17). Each sample was incubated at 60 °C in the autosampler oven with constant agitation. After 5 min equilibration, the SPME fiber was exposed to the sample headspace for 30 min. The compounds trapped on the fiber were thermally desorbed in the injection port of the chromatograph by heating the fiber for 15 min at 270 °C.

The GC-MS was equipped with a low polarity RXi-5Sil MS column (length, 20 m; internal diameter, 0.18 mm; layer thickness, 0.18 µm; Restek, Bellefonte, PA, USA). Injection was performed in splitless mode at 320 °C, a split flow of 9 ml/min, a purge flow of 5 ml/min and an open valve time of 3 min. To obtain a pulsed injection, a programmed gas flow was used whereby the helium gas flow was set at 2.7 mL/min for 0.1 min, followed by a decrease in flow of 20 ml/min to the normal 0.9 mL/min. The temperature was first held at 30 °C for 3 min and then allowed to rise to 80 °C at a rate of 7 °C/min, followed by a second ramp of 2 °C/min till 125 °C and a final ramp of 8 °C/min with a final temperature of 270 °C.

Mass acquisition range was 33 to 550 amu at a scan rate of 5 scans/s. Electron impact ionization energy was 70 eV. The interface and ion source were kept at 275 °C and 250 °C, respectively. A mix of linear n-alkanes (from C7 to C40, Supelco Co.) was injected into the GC-MS under identical conditions to serve as external retention index markers. Identification and quantification of the compounds were performed using an in-house developed R script as described in Goelen et al. and Reher et al. 87 , 88 (for package information, see Supplementary Table  S8 ). Briefly, chromatograms were analyzed using AMDIS (v2.71) 89 to separate overlapping peaks and obtain pure compound spectra. The NIST MS Search software (v2.0 g) in combination with the NIST2017, FFNSC3 and Adams4 libraries were used to manually identify the empirical spectra, taking into account the expected retention time. After background subtraction and correcting for retention time shifts between samples run on different days based on alkane ladders, compound elution profiles were extracted and integrated using a file with 284 target compounds of interest, which were either recovered in our identified AMDIS list of spectra or were known to occur in beer. Compound elution profiles were estimated for every peak in every chromatogram over a time-restricted window using weighted non-negative least square analysis after which peak areas were integrated 87 , 88 . Batch effect correction was performed by normalizing against the most stable internal standard compound, 4-fluorobenzaldehyde. Out of all 284 target compounds that were analyzed, 167 were visually judged to have reliable elution profiles and were used for final analysis.

Discrete photometric and enzymatic analysis

Discrete photometric and enzymatic analysis (Thermo Scientific TM Gallery TM Plus Beermaster Discrete Analyzer) was used to measure acetic acid, ammonia, beta-glucan, iso-alpha acids, color, sugars, glycerol, iron, pH, protein, and sulfite. 2 ml of sample volume was used for the analyses. Information regarding the reagents and standard solutions used for analyses and calibrations is included in Supplementary Table  S7 and Supplementary Table  S9 .

NIR analyses

NIR analysis (Anton Paar Alcolyzer Beer ME System) was used to measure ethanol. Measurements comprised 50 ml of sample, and a 10% EtOH solution was used for calibration.

Correlation calculations

Pairwise Spearman Rank correlations were calculated between all chemical properties.

Sensory dataset

Trained panel.

Our trained tasting panel consisted of volunteers who gave prior verbal informed consent. All compounds used for the validation experiment were of food-grade quality. The tasting sessions were approved by the Social and Societal Ethics Committee of the KU Leuven (G-2022-5677-R2(MAR)). All online reviewers agreed to the Terms and Conditions of the RateBeer website.

Sensory analysis was performed according to the American Society of Brewing Chemists (ASBC) Sensory Analysis Methods 90 . 30 volunteers were screened through a series of triangle tests. The sixteen most sensitive and consistent tasters were retained as taste panel members. The resulting panel was diverse in age [22–42, mean: 29], sex [56% male] and nationality [7 different countries]. The panel developed a consensus vocabulary to describe beer aroma, taste and mouthfeel. Panelists were trained to identify and score 50 different attributes, using a 7-point scale to rate attributes’ intensity. The scoring sheet is included as Supplementary Data  3 . Sensory assessments took place between 10–12 a.m. The beers were served in black-colored glasses. Per session, between 5 and 12 beers of the same style were tasted at 12 °C to 16 °C. Two reference beers were added to each set and indicated as ‘Reference 1 & 2’, allowing panel members to calibrate their ratings. Not all panelists were present at every tasting. Scores were scaled by standard deviation and mean-centered per taster. Values are represented as z-scores and clustered by Euclidean distance. Pairwise Spearman correlations were calculated between taste and aroma sensory attributes. Panel consistency was evaluated by repeating samples on different sessions and performing ANOVA to identify differences, using the ‘stats’ package (v4.2.2) in R (for package information, see Supplementary Table  S8 ).

Online reviews from a public database

The ‘scrapy’ package in Python (v3.6) (for package information, see Supplementary Table  S8 ). was used to collect 232,288 online reviews (mean=922, min=6, max=5343) from RateBeer, an online beer review database. Each review entry comprised 5 numerical scores (appearance, aroma, taste, palate and overall quality) and an optional review text. The total number of reviews per reviewer was collected separately. Numerical scores were scaled and centered per rater, and mean scores were calculated per beer.

For the review texts, the language was estimated using the packages ‘langdetect’ and ‘langid’ in Python. Reviews that were classified as English by both packages were kept. Reviewers with fewer than 100 entries overall were discarded. 181,025 reviews from >6000 reviewers from >40 countries remained. Text processing was done using the ‘nltk’ package in Python. Texts were corrected for slang and misspellings; proper nouns and rare words that are relevant to the beer context were specified and kept as-is (‘Chimay’,’Lambic’, etc.). A dictionary of semantically similar sensorial terms, for example ‘floral’ and ‘flower’, was created and collapsed together into one term. Words were stemmed and lemmatized to avoid identifying words such as ‘acid’ and ‘acidity’ as separate terms. Numbers and punctuation were removed.

Sentences from up to 50 randomly chosen reviews per beer were manually categorized according to the aspect of beer they describe (appearance, aroma, taste, palate, overall quality—not to be confused with the 5 numerical scores described above) or flagged as irrelevant if they contained no useful information. If a beer contained fewer than 50 reviews, all reviews were manually classified. This labeled data set was used to train a model that classified the rest of the sentences for all beers 91 . Sentences describing taste and aroma were extracted, and term frequency–inverse document frequency (TFIDF) was implemented to calculate enrichment scores for sensorial words per beer.

The sex of the tasting subject was not considered when building our sensory database. Instead, results from different panelists were averaged, both for our trained panel (56% male, 44% female) and the RateBeer reviews (70% male, 30% female for RateBeer as a whole).

Beer price collection and processing

Beer prices were collected from the following stores: Colruyt, Delhaize, Total Wine, BeerHawk, The Belgian Beer Shop, The Belgian Shop, and Beer of Belgium. Where applicable, prices were converted to Euros and normalized per liter. Spearman correlations were calculated between these prices and mean overall appreciation scores from RateBeer and the taste panel, respectively.

Pairwise Spearman Rank correlations were calculated between all sensory properties.

Machine learning models

Predictive modeling of sensory profiles from chemical data.

Regression models were constructed to predict (a) trained panel scores for beer flavors and quality from beer chemical profiles and (b) public reviews’ appreciation scores from beer chemical profiles. Z-scores were used to represent sensory attributes in both data sets. Chemical properties with log-normal distributions (Shapiro-Wilk test, p  <  0.05 ) were log-transformed. Missing chemical measurements (0.1% of all data) were replaced with mean values per attribute. Observations from 250 beers were randomly separated into a training set (70%, 175 beers) and a test set (30%, 75 beers), stratified per beer style. Chemical measurements (p = 231) were normalized based on the training set average and standard deviation. In total, three linear regression-based models: linear regression with first-order interaction terms (LR), lasso regression with first-order interaction terms (Lasso) and partial least squares regression (PLSR); five decision tree models, Adaboost regressor (ABR), Extra Trees (ET), Gradient Boosting regressor (GBR), Random Forest (RF) and XGBoost regressor (XGBR); one support vector machine model (SVR) and one artificial neural network model (ANN) were trained. The models were implemented using the ‘scikit-learn’ package (v1.2.2) and ‘xgboost’ package (v1.7.3) in Python (v3.9.16). Models were trained, and hyperparameters optimized, using five-fold cross-validated grid search with the coefficient of determination (R 2 ) as the evaluation metric. The ANN (scikit-learn’s MLPRegressor) was optimized using Bayesian Tree-Structured Parzen Estimator optimization with the ‘Optuna’ Python package (v3.2.0). Individual models were trained per attribute, and a multi-output model was trained on all attributes simultaneously.

Model dissection

GBR was found to outperform other methods, resulting in models with the highest average R 2 values in both trained panel and public review data sets. Impurity-based rankings of the most important predictors for each predicted sensorial trait were obtained using the ‘scikit-learn’ package. To observe the relationships between these chemical properties and their predicted targets, partial dependence plots (PDP) were constructed for the six most important predictors of consumer appreciation 74 , 75 .

The ‘SHAP’ package in Python (v0.41.0) was implemented to provide an alternative ranking of predictor importance and to visualize the predictors’ effects as a function of their concentration 68 .

Validation of causal chemical properties

To validate the effects of the most important model features on predicted sensory attributes, beers were spiked with the chemical compounds identified by the models and descriptive sensory analyses were carried out according to the American Society of Brewing Chemists (ASBC) protocol 90 .

Compound spiking was done 30 min before tasting. Compounds were spiked into fresh beer bottles, that were immediately resealed and inverted three times. Fresh bottles of beer were opened for the same duration, resealed, and inverted thrice, to serve as controls. Pairs of spiked samples and controls were served simultaneously, chilled and in dark glasses as outlined in the Trained panel section above. Tasters were instructed to select the glass with the higher flavor intensity for each attribute (directional difference test 92 ) and to select the glass they prefer.

The final concentration after spiking was equal to the within-style average, after normalizing by ethanol concentration. This was done to ensure balanced flavor profiles in the final spiked beer. The same methods were applied to improve a non-alcoholic beer. Compounds were the following: ethyl acetate (Merck KGaA, W241415), ethyl hexanoate (Merck KGaA, W243906), isoamyl acetate (Merck KGaA, W205508), phenethyl acetate (Merck KGaA, W285706), ethanol (96%, Colruyt), glycerol (Merck KGaA, W252506), lactic acid (Merck KGaA, 261106).

Significant differences in preference or perceived intensity were determined by performing the two-sided binomial test on each attribute.

Reporting summary

Further information on research design is available in the  Nature Portfolio Reporting Summary linked to this article.

Data availability

The data that support the findings of this work are available in the Supplementary Data files and have been deposited to Zenodo under accession code 10653704 93 . The RateBeer scores data are under restricted access, they are not publicly available as they are property of RateBeer (ZX Ventures, USA). Access can be obtained from the authors upon reasonable request and with permission of RateBeer (ZX Ventures, USA).  Source data are provided with this paper.

Code availability

The code for training the machine learning models, analyzing the models, and generating the figures has been deposited to Zenodo under accession code 10653704 93 .

Tieman, D. et al. A chemical genetic roadmap to improved tomato flavor. Science 355 , 391–394 (2017).

Article   ADS   CAS   PubMed   Google Scholar  

Plutowska, B. & Wardencki, W. Application of gas chromatography–olfactometry (GC–O) in analysis and quality assessment of alcoholic beverages – A review. Food Chem. 107 , 449–463 (2008).

Article   CAS   Google Scholar  

Legin, A., Rudnitskaya, A., Seleznev, B. & Vlasov, Y. Electronic tongue for quality assessment of ethanol, vodka and eau-de-vie. Anal. Chim. Acta 534 , 129–135 (2005).

Loutfi, A., Coradeschi, S., Mani, G. K., Shankar, P. & Rayappan, J. B. B. Electronic noses for food quality: A review. J. Food Eng. 144 , 103–111 (2015).

Ahn, Y.-Y., Ahnert, S. E., Bagrow, J. P. & Barabási, A.-L. Flavor network and the principles of food pairing. Sci. Rep. 1 , 196 (2011).

Article   CAS   PubMed   PubMed Central   Google Scholar  

Bartoshuk, L. M. & Klee, H. J. Better fruits and vegetables through sensory analysis. Curr. Biol. 23 , R374–R378 (2013).

Article   CAS   PubMed   Google Scholar  

Piggott, J. R. Design questions in sensory and consumer science. Food Qual. Prefer. 3293 , 217–220 (1995).

Article   Google Scholar  

Kermit, M. & Lengard, V. Assessing the performance of a sensory panel-panellist monitoring and tracking. J. Chemom. 19 , 154–161 (2005).

Cook, D. J., Hollowood, T. A., Linforth, R. S. T. & Taylor, A. J. Correlating instrumental measurements of texture and flavour release with human perception. Int. J. Food Sci. Technol. 40 , 631–641 (2005).

Chinchanachokchai, S., Thontirawong, P. & Chinchanachokchai, P. A tale of two recommender systems: The moderating role of consumer expertise on artificial intelligence based product recommendations. J. Retail. Consum. Serv. 61 , 1–12 (2021).

Ross, C. F. Sensory science at the human-machine interface. Trends Food Sci. Technol. 20 , 63–72 (2009).

Chambers, E. IV & Koppel, K. Associations of volatile compounds with sensory aroma and flavor: The complex nature of flavor. Molecules 18 , 4887–4905 (2013).

Pinu, F. R. Metabolomics—The new frontier in food safety and quality research. Food Res. Int. 72 , 80–81 (2015).

Danezis, G. P., Tsagkaris, A. S., Brusic, V. & Georgiou, C. A. Food authentication: state of the art and prospects. Curr. Opin. Food Sci. 10 , 22–31 (2016).

Shepherd, G. M. Smell images and the flavour system in the human brain. Nature 444 , 316–321 (2006).

Meilgaard, M. C. Prediction of flavor differences between beers from their chemical composition. J. Agric. Food Chem. 30 , 1009–1017 (1982).

Xu, L. et al. Widespread receptor-driven modulation in peripheral olfactory coding. Science 368 , eaaz5390 (2020).

Kupferschmidt, K. Following the flavor. Science 340 , 808–809 (2013).

Billesbølle, C. B. et al. Structural basis of odorant recognition by a human odorant receptor. Nature 615 , 742–749 (2023).

Article   ADS   PubMed   PubMed Central   Google Scholar  

Smith, B. Perspective: Complexities of flavour. Nature 486 , S6–S6 (2012).

Pfister, P. et al. Odorant receptor inhibition is fundamental to odor encoding. Curr. Biol. 30 , 2574–2587 (2020).

Moskowitz, H. W., Kumaraiah, V., Sharma, K. N., Jacobs, H. L. & Sharma, S. D. Cross-cultural differences in simple taste preferences. Science 190 , 1217–1218 (1975).

Eriksson, N. et al. A genetic variant near olfactory receptor genes influences cilantro preference. Flavour 1 , 22 (2012).

Ferdenzi, C. et al. Variability of affective responses to odors: Culture, gender, and olfactory knowledge. Chem. Senses 38 , 175–186 (2013).

Article   PubMed   Google Scholar  

Lawless, H. T. & Heymann, H. Sensory evaluation of food: Principles and practices. (Springer, New York, NY). https://doi.org/10.1007/978-1-4419-6488-5 (2010).

Colantonio, V. et al. Metabolomic selection for enhanced fruit flavor. Proc. Natl. Acad. Sci. 119 , e2115865119 (2022).

Fritz, F., Preissner, R. & Banerjee, P. VirtualTaste: a web server for the prediction of organoleptic properties of chemical compounds. Nucleic Acids Res 49 , W679–W684 (2021).

Tuwani, R., Wadhwa, S. & Bagler, G. BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules. Sci. Rep. 9 , 1–13 (2019).

Dagan-Wiener, A. et al. Bitter or not? BitterPredict, a tool for predicting taste from chemical structure. Sci. Rep. 7 , 1–13 (2017).

Pallante, L. et al. Toward a general and interpretable umami taste predictor using a multi-objective machine learning approach. Sci. Rep. 12 , 1–11 (2022).

Malavolta, M. et al. A survey on computational taste predictors. Eur. Food Res. Technol. 248 , 2215–2235 (2022).

Lee, B. K. et al. A principal odor map unifies diverse tasks in olfactory perception. Science 381 , 999–1006 (2023).

Mayhew, E. J. et al. Transport features predict if a molecule is odorous. Proc. Natl. Acad. Sci. 119 , e2116576119 (2022).

Niu, Y. et al. Sensory evaluation of the synergism among ester odorants in light aroma-type liquor by odor threshold, aroma intensity and flash GC electronic nose. Food Res. Int. 113 , 102–114 (2018).

Yu, P., Low, M. Y. & Zhou, W. Design of experiments and regression modelling in food flavour and sensory analysis: A review. Trends Food Sci. Technol. 71 , 202–215 (2018).

Oladokun, O. et al. The impact of hop bitter acid and polyphenol profiles on the perceived bitterness of beer. Food Chem. 205 , 212–220 (2016).

Linforth, R., Cabannes, M., Hewson, L., Yang, N. & Taylor, A. Effect of fat content on flavor delivery during consumption: An in vivo model. J. Agric. Food Chem. 58 , 6905–6911 (2010).

Guo, S., Na Jom, K. & Ge, Y. Influence of roasting condition on flavor profile of sunflower seeds: A flavoromics approach. Sci. Rep. 9 , 11295 (2019).

Ren, Q. et al. The changes of microbial community and flavor compound in the fermentation process of Chinese rice wine using Fagopyrum tataricum grain as feedstock. Sci. Rep. 9 , 3365 (2019).

Hastie, T., Friedman, J. & Tibshirani, R. The Elements of Statistical Learning. (Springer, New York, NY). https://doi.org/10.1007/978-0-387-21606-5 (2001).

Dietz, C., Cook, D., Huismann, M., Wilson, C. & Ford, R. The multisensory perception of hop essential oil: a review. J. Inst. Brew. 126 , 320–342 (2020).

CAS   Google Scholar  

Roncoroni, Miguel & Verstrepen, Kevin Joan. Belgian Beer: Tested and Tasted. (Lannoo, 2018).

Meilgaard, M. Flavor chemistry of beer: Part II: Flavor and threshold of 239 aroma volatiles. in (1975).

Bokulich, N. A. & Bamforth, C. W. The microbiology of malting and brewing. Microbiol. Mol. Biol. Rev. MMBR 77 , 157–172 (2013).

Dzialo, M. C., Park, R., Steensels, J., Lievens, B. & Verstrepen, K. J. Physiology, ecology and industrial applications of aroma formation in yeast. FEMS Microbiol. Rev. 41 , S95–S128 (2017).

Article   PubMed   PubMed Central   Google Scholar  

Datta, A. et al. Computer-aided food engineering. Nat. Food 3 , 894–904 (2022).

American Society of Brewing Chemists. Beer Methods. (American Society of Brewing Chemists, St. Paul, MN, U.S.A.).

Olaniran, A. O., Hiralal, L., Mokoena, M. P. & Pillay, B. Flavour-active volatile compounds in beer: production, regulation and control. J. Inst. Brew. 123 , 13–23 (2017).

Verstrepen, K. J. et al. Flavor-active esters: Adding fruitiness to beer. J. Biosci. Bioeng. 96 , 110–118 (2003).

Meilgaard, M. C. Flavour chemistry of beer. part I: flavour interaction between principal volatiles. Master Brew. Assoc. Am. Tech. Q 12 , 107–117 (1975).

Briggs, D. E., Boulton, C. A., Brookes, P. A. & Stevens, R. Brewing 227–254. (Woodhead Publishing). https://doi.org/10.1533/9781855739062.227 (2004).

Bossaert, S., Crauwels, S., De Rouck, G. & Lievens, B. The power of sour - A review: Old traditions, new opportunities. BrewingScience 72 , 78–88 (2019).

Google Scholar  

Verstrepen, K. J. et al. Flavor active esters: Adding fruitiness to beer. J. Biosci. Bioeng. 96 , 110–118 (2003).

Snauwaert, I. et al. Microbial diversity and metabolite composition of Belgian red-brown acidic ales. Int. J. Food Microbiol. 221 , 1–11 (2016).

Spitaels, F. et al. The microbial diversity of traditional spontaneously fermented lambic beer. PLoS ONE 9 , e95384 (2014).

Blanco, C. A., Andrés-Iglesias, C. & Montero, O. Low-alcohol Beers: Flavor Compounds, Defects, and Improvement Strategies. Crit. Rev. Food Sci. Nutr. 56 , 1379–1388 (2016).

Jackowski, M. & Trusek, A. Non-Alcohol. beer Prod. – Overv. 20 , 32–38 (2018).

Takoi, K. et al. The contribution of geraniol metabolism to the citrus flavour of beer: Synergy of geraniol and β-citronellol under coexistence with excess linalool. J. Inst. Brew. 116 , 251–260 (2010).

Kroeze, J. H. & Bartoshuk, L. M. Bitterness suppression as revealed by split-tongue taste stimulation in humans. Physiol. Behav. 35 , 779–783 (1985).

Mennella, J. A. et al. A spoonful of sugar helps the medicine go down”: Bitter masking bysucrose among children and adults. Chem. Senses 40 , 17–25 (2015).

Wietstock, P., Kunz, T., Perreira, F. & Methner, F.-J. Metal chelation behavior of hop acids in buffered model systems. BrewingScience 69 , 56–63 (2016).

Sancho, D., Blanco, C. A., Caballero, I. & Pascual, A. Free iron in pale, dark and alcohol-free commercial lager beers. J. Sci. Food Agric. 91 , 1142–1147 (2011).

Rodrigues, H. & Parr, W. V. Contribution of cross-cultural studies to understanding wine appreciation: A review. Food Res. Int. 115 , 251–258 (2019).

Korneva, E. & Blockeel, H. Towards better evaluation of multi-target regression models. in ECML PKDD 2020 Workshops (eds. Koprinska, I. et al.) 353–362 (Springer International Publishing, Cham, 2020). https://doi.org/10.1007/978-3-030-65965-3_23 .

Gastón Ares. Mathematical and Statistical Methods in Food Science and Technology. (Wiley, 2013).

Grinsztajn, L., Oyallon, E. & Varoquaux, G. Why do tree-based models still outperform deep learning on tabular data? Preprint at http://arxiv.org/abs/2207.08815 (2022).

Gries, S. T. Statistics for Linguistics with R: A Practical Introduction. in Statistics for Linguistics with R (De Gruyter Mouton, 2021). https://doi.org/10.1515/9783110718256 .

Lundberg, S. M. et al. From local explanations to global understanding with explainable AI for trees. Nat. Mach. Intell. 2 , 56–67 (2020).

Ickes, C. M. & Cadwallader, K. R. Effects of ethanol on flavor perception in alcoholic beverages. Chemosens. Percept. 10 , 119–134 (2017).

Kato, M. et al. Influence of high molecular weight polypeptides on the mouthfeel of commercial beer. J. Inst. Brew. 127 , 27–40 (2021).

Wauters, R. et al. Novel Saccharomyces cerevisiae variants slow down the accumulation of staling aldehydes and improve beer shelf-life. Food Chem. 398 , 1–11 (2023).

Li, H., Jia, S. & Zhang, W. Rapid determination of low-level sulfur compounds in beer by headspace gas chromatography with a pulsed flame photometric detector. J. Am. Soc. Brew. Chem. 66 , 188–191 (2008).

Dercksen, A., Laurens, J., Torline, P., Axcell, B. C. & Rohwer, E. Quantitative analysis of volatile sulfur compounds in beer using a membrane extraction interface. J. Am. Soc. Brew. Chem. 54 , 228–233 (1996).

Molnar, C. Interpretable Machine Learning: A Guide for Making Black-Box Models Interpretable. (2020).

Zhao, Q. & Hastie, T. Causal interpretations of black-box models. J. Bus. Econ. Stat. Publ. Am. Stat. Assoc. 39 , 272–281 (2019).

Article   MathSciNet   Google Scholar  

Hastie, T., Tibshirani, R. & Friedman, J. The Elements of Statistical Learning. (Springer, 2019).

Labrado, D. et al. Identification by NMR of key compounds present in beer distillates and residual phases after dealcoholization by vacuum distillation. J. Sci. Food Agric. 100 , 3971–3978 (2020).

Lusk, L. T., Kay, S. B., Porubcan, A. & Ryder, D. S. Key olfactory cues for beer oxidation. J. Am. Soc. Brew. Chem. 70 , 257–261 (2012).

Gonzalez Viejo, C., Torrico, D. D., Dunshea, F. R. & Fuentes, S. Development of artificial neural network models to assess beer acceptability based on sensory properties using a robotic pourer: A comparative model approach to achieve an artificial intelligence system. Beverages 5 , 33 (2019).

Gonzalez Viejo, C., Fuentes, S., Torrico, D. D., Godbole, A. & Dunshea, F. R. Chemical characterization of aromas in beer and their effect on consumers liking. Food Chem. 293 , 479–485 (2019).

Gilbert, J. L. et al. Identifying breeding priorities for blueberry flavor using biochemical, sensory, and genotype by environment analyses. PLOS ONE 10 , 1–21 (2015).

Goulet, C. et al. Role of an esterase in flavor volatile variation within the tomato clade. Proc. Natl. Acad. Sci. 109 , 19009–19014 (2012).

Article   ADS   CAS   PubMed   PubMed Central   Google Scholar  

Borisov, V. et al. Deep Neural Networks and Tabular Data: A Survey. IEEE Trans. Neural Netw. Learn. Syst. 1–21 https://doi.org/10.1109/TNNLS.2022.3229161 (2022).

Statista. Statista Consumer Market Outlook: Beer - Worldwide.

Seitz, H. K. & Stickel, F. Molecular mechanisms of alcoholmediated carcinogenesis. Nat. Rev. Cancer 7 , 599–612 (2007).

Voordeckers, K. et al. Ethanol exposure increases mutation rate through error-prone polymerases. Nat. Commun. 11 , 3664 (2020).

Goelen, T. et al. Bacterial phylogeny predicts volatile organic compound composition and olfactory response of an aphid parasitoid. Oikos 129 , 1415–1428 (2020).

Article   ADS   Google Scholar  

Reher, T. et al. Evaluation of hop (Humulus lupulus) as a repellent for the management of Drosophila suzukii. Crop Prot. 124 , 104839 (2019).

Stein, S. E. An integrated method for spectrum extraction and compound identification from gas chromatography/mass spectrometry data. J. Am. Soc. Mass Spectrom. 10 , 770–781 (1999).

American Society of Brewing Chemists. Sensory Analysis Methods. (American Society of Brewing Chemists, St. Paul, MN, U.S.A., 1992).

McAuley, J., Leskovec, J. & Jurafsky, D. Learning Attitudes and Attributes from Multi-Aspect Reviews. Preprint at https://doi.org/10.48550/arXiv.1210.3926 (2012).

Meilgaard, M. C., Carr, B. T. & Carr, B. T. Sensory Evaluation Techniques. (CRC Press, Boca Raton). https://doi.org/10.1201/b16452 (2014).

Schreurs, M. et al. Data from: Predicting and improving complex beer flavor through machine learning. Zenodo https://doi.org/10.5281/zenodo.10653704 (2024).

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Acknowledgements

We thank all lab members for their discussions and thank all tasting panel members for their contributions. Special thanks go out to Dr. Karin Voordeckers for her tremendous help in proofreading and improving the manuscript. M.S. was supported by a Baillet-Latour fellowship, L.C. acknowledges financial support from KU Leuven (C16/17/006), F.A.T. was supported by a PhD fellowship from FWO (1S08821N). Research in the lab of K.J.V. is supported by KU Leuven, FWO, VIB, VLAIO and the Brewing Science Serves Health Fund. Research in the lab of T.W. is supported by FWO (G.0A51.15) and KU Leuven (C16/17/006).

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These authors contributed equally: Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni.

Authors and Affiliations

VIB—KU Leuven Center for Microbiology, Gaston Geenslaan 1, B-3001, Leuven, Belgium

Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni, Lloyd Cool, Beatriz Herrera-Malaver, Florian A. Theßeling & Kevin J. Verstrepen

CMPG Laboratory of Genetics and Genomics, KU Leuven, Gaston Geenslaan 1, B-3001, Leuven, Belgium

Leuven Institute for Beer Research (LIBR), Gaston Geenslaan 1, B-3001, Leuven, Belgium

Laboratory of Socioecology and Social Evolution, KU Leuven, Naamsestraat 59, B-3000, Leuven, Belgium

Lloyd Cool, Christophe Vanderaa & Tom Wenseleers

VIB Bioinformatics Core, VIB, Rijvisschestraat 120, B-9052, Ghent, Belgium

Łukasz Kreft & Alexander Botzki

AB InBev SA/NV, Brouwerijplein 1, B-3000, Leuven, Belgium

Philippe Malcorps & Luk Daenen

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Contributions

S.P., M.S. and K.J.V. conceived the experiments. S.P., M.S. and K.J.V. designed the experiments. S.P., M.S., M.R., B.H. and F.A.T. performed the experiments. S.P., M.S., L.C., C.V., L.K., A.B., P.M., L.D., T.W. and K.J.V. contributed analysis ideas. S.P., M.S., L.C., C.V., T.W. and K.J.V. analyzed the data. All authors contributed to writing the manuscript.

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Correspondence to Kevin J. Verstrepen .

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Schreurs, M., Piampongsant, S., Roncoroni, M. et al. Predicting and improving complex beer flavor through machine learning. Nat Commun 15 , 2368 (2024). https://doi.org/10.1038/s41467-024-46346-0

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The Discussion section gives you the most freedom. Most authors begin with a brief reiteration of what they did. Every author should restate the key findings and answer the question noted in the Introduction . Focus on what your data prove, not what you hoped they would prove. Start with “We found that…” (or something similar), and explain what the data mean. Anticipate your readers' questions, and explain why your results are of interest.

Then compare your results with other people's results. This is where that literature review you did comes in handy. Discuss how your findings support or challenge other studies.

You do not need every article from your literature review listed in your paper or reference list, unless you are writing a narrative review or systematic review. Your manuscript is not intended to be an exhaustive review of the topic. Do not provide a long review of the literature—discuss only previous work that is directly pertinent to your findings. Contrary to some beliefs, having a long list in the References section does not mean the paper is more scholarly; it does suggest the author is trying to look scholarly. (If your article is a systematic review, the citation list might be long.)

Do not overreach your results. Finding a perceived knowledge need, for example, does not necessarily mean that library colleges must immediately overhaul their curricula and that it will improve health care and save lives and money (unless your data show that, in which case give us a chance to publish it!). You can say “has the potential to,” though.

Always note limitations that matter, not generic limitations.

Point out unanswered questions and future directions. Give the big-picture implications of your findings, and tell your readers why they should care. End with the main findings of your study, and do not travel too far from your data. Remember to give a final take-home message along with implications.

Notice that this format does not include a separate Conclusion section. The conclusion is built into the Discussion . For example, here is the last paragraph of the Discussion section in a recent NEJM article:

In conclusion, our trial did not show the hypothesized benefit [of the intervention] in patients…who were at high risk for complications.

However, a separate Conclusion section is usually appropriate for abstracts. Systematic reviews should have an Interpretation section.

Other parts of your research paper independent of IMRAD include:

Tables and figures are the foundation for your story. They are the story. Editors, reviewers, and readers usually look at titles, abstracts, and tables and figures first. Figures and tables should stand alone and tell a complete story. Your readers should not need to refer back to the main text.

Abstracts can be free-form or structured with subheadings. Always follow the format indicated by the publisher; the JMLA uses structured abstracts for research articles. The main parts of an abstract may include introduction (background, question or hypothesis), methods, results, conclusions, and implications. So begin your abstract with the background of your study, followed by the question asked. Next, give a quick summary of the methods used in your study. Key results come next with limited raw data if any, followed by the conclusion, which answers the questions asked (the take-home message).

• ▪ Recommended order for writing a manuscript is first to start with your tables and figures. They tell your story. You can write your sections in any order. Many recommend writing your Result s, followed by Methods, Introduction, Discussion , and Abstract.
• ▪ We suggest authors read their manuscripts out loud to a group of librarians. Look for evidence of MEGO, “My Eyes Glaze Over” (attributed to Washington Post publisher Ben Bradlee and others). Modify as necessary.
• ▪ Every single paragraph should be lucid.
• ▪ Every paragraph should answer your readers' question, “Why are you telling me this?”

The JMLA welcomes all sizes of research manuscripts: definitive studies, preliminary studies, critical descriptive studies, and test-of-concept studies. We welcome brief reports and research letters. But the JMLA is more than a research journal. We also welcome case studies, commentaries, letters to the editor about articles, and subject reviews.

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New Research Reveals Full Diversity of Killer Whales as Two Species Come into View on Pacific Coast

March 27, 2024

Long viewed as one worldwide species, killer whale diversity now merits more. Southern Resident Connections - Post 35

Scientists have resolved one of the outstanding questions about one of the world’s most recognizable creatures, identifying two well-known killer whales in the North Pacific Ocean as separate species.

Killer whales are one of the most widespread animals on Earth. They have long been considered one worldwide species known scientifically as Orcinus orca , with different forms in various regions known as “ecotypes.”

However, biologists have increasingly recognized the differences between resident and Bigg’s killer whales. Resident killer whales maintain tight-knit family pods and prey on salmon and other marine fish. Bigg’s killer whales roam in smaller groups, preying on other marine mammals such as seals and whales. (Killer whales actually belong to the dolphin family.) Bigg’s killer whales, sometimes called transients, are named for Canadian scientist Michael Bigg, the first to describe telltale differences between the two types.

He noted in the 1970s that the two animals did not mix with each other even when they occupied many of the same coastal waters. This is often a sign of different species.

The finding recognizes the accuracy of the listing of Southern Resident killer whales as a Distinct Population Segment warranting protection under the Endangered Species Act in 2005. At the time, NOAA described the distinct population segment as part of an unnamed subspecies of resident killer whales in the North Pacific.

Now a team of scientists from NOAA Fisheries and universities have assembled genetic, physical, and behavioral evidence. The data distinguish two of the killer whale ecotypes of the North Pacific Coast—residents and Bigg’s—as separate species.

“We started to ask this question 20 years ago, but we didn’t have much data, and we did not have the tools that we do now,” said Phil Morin, an evolutionary geneticist at NOAA Fisheries’ Southwest Fisheries Science Center and lead author of the new paper . “Now we have more of both, and the weight of the evidence says these are different species.”

Genetic data from previous studies revealed that the two species likely diverged more than 300,000 years ago and come from opposite ends of the killer whale family tree. That makes them about as genetically different as any killer whale ecotypes around the globe. Subsequent studies of genomic data confirm that they have evolved as genetically and culturally distinct groups, which occupy different niches in the same Northwest marine ecosystem.

“They’re the most different killer whales in the world, and they live right next to each other and see each other all the time,” said Barbara Taylor, a former NOAA Fisheries marine mammal biologist who was part of the science panel that assessed the status of Southern Residents. “They just do not mix.”

Recognizing New Species

The Taxonomy Committee of the Society of Marine Mammalogy will determine whether to recognize the new species in its official list of marine mammal species . The committee will likely determine whether to accept the new designations at its next annual review this summer.

The scientists proposed scientific names for the new species based on their earliest published descriptions in the 1800s. Neither will keep the ubiquitous worldwide moniker, orca . The team proposed to call resident killer whales Orcinus ater , a Latin reference to their dominant black coloring. Bigg’s killer whales would be called Orcinus rectipinnus , a combination of Latin words for erect wing, probably referring to their tall, sharp dorsal fin.

Both species names were originally published in 1869 by Edward Drinker Cope, a Pennsylvania scientist known more for unearthing dinosaurs than studying marine mammals. He was working from a manuscript that California whaling captain Charles Melville Scammon had sent to the Smithsonian Institution describing West Coast marine mammals, including the two killer whales. While Cope credited Scammon for the descriptions, Scammon took issue with Cope for editing and publishing Scammon’s work without telling him. (See accompanying story .)

The Smithsonian Institution had shared Scammon’s work with Cope, and a Smithsonian official later apologized to Scammon for what he called “Cope’s absurd blunder.”

Species Reflect Ecosystem

The contested question of whether Southern Residents were distinct enough to merit endangered species protections initially drove much of the research that helped differentiate the two species, said Eric Archer, who leads the Marine Mammal Genetics Program at the Southwest Fisheries Science Center and is a coauthor of the new research paper. The increasing processing power of computers has made it possible to examine killer whale DNA in ever finer detail. He said the findings not only validate protection for the animals themselves, but also help reveal different components of the marine ecosystems the whales depend on.

“As we better understand what makes these species special, we learn more about how they use the ecosystems they inhabit and what makes those environments special, too,” he said.

The new research synthesizes the earliest accounts of killer whales on the Pacific Coast with modern data on physical characteristics. The team also use aerial imaging (called photogrammetry ), and measurement and genetic testing of museum specimens at the Smithsonian and elsewhere. While the two species look similar to the untrained eye, the evidence demonstrates they are very different species. The two species use different ecological niches, such as specializing in different prey, said Kim Parsons, a geneticist at the NOAA Fisheries Northwest Fisheries Science Center in Seattle and coauthor of the new research.

Recent research with drones that collect precise aerial photos has helped differentiate Bigg’s killer whales as longer and larger. This might better equip them to go after large marine mammal prey. The smaller size of residents is likely better suited to deep dives after their salmon prey, said John Durban, an associate professor at Oregon State University’s Marine Mammal Institute. His killer whale drone research is done collaboratively with Holly Fearnbach, a researcher at SR³.

The different prey of the two species may also help explain their different trajectories. Southern Residents are listed as endangered in part because of the scarcity of their salmon prey. Bigg’s killer whales, by contrast, have multiplied while feeding on plentiful marine mammals, including California sea lions.

While killer whales represent some of the most efficient predators the world has ever seen, Durban said science is still unraveling the diversity among them. The identification of additional killer whale species is likely to follow. One leading candidate may be “Type D” killer whales identified in the Southern Ocean around Antarctica.

Other killer whales in Antarctic waters also look very different from the best-known black and white killer whales. This reflects a wider diversity within the species, said Durban, who has used drones to study killer whales around the world. “The more we learn,” he said, “the clearer it becomes to me that at least some of these types will be recognized as different species in due course.”

Southern Resident Connections

Southern Resident killer whales are icons of a vibrant but struggling marine ecosystem that is important to us all. Join us in exploring the ecological connections that tie this system together, and the ways we are protecting and working to recover the whales we all care so much about.

Read more entries

More Information

• New Research Reveals Two Species of Killer Whale
• How Scientists Chose Names for Newly Identified Killer Whale Species
• Two Species of Killer Whale Infographic
• Marine Mammal Genetics Research
• 2004 Status Review of Southern Resident Killer Whales
• Saving the Southern Resident Killer Whales
• Listing of Southern Resident Killer Whale Under the ESA
• Killer Whale Ecotypes Poster

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Last updated by Southwest Fisheries Science Center on March 28, 2024

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