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Quantifying professionalism in peer review

BACKGROUND: The process of peer-review in academia has attracted criticism surrounding issues of bias, fairness, and professionalism; however, frequency of occurrence of such comments is unknown. METHODS: We evaluated 1491 sets of reviewer comments from the fields of “Ecology and Evolution” and “Beh...

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Autores principales: Gerwing, Travis G., Allen Gerwing, Alyssa M., Avery-Gomm, Stephanie, Choi, Chi-Yeung, Clements, Jeff C., Rash, Joshua A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379804/
https://www.ncbi.nlm.nih.gov/pubmed/32760597
http://dx.doi.org/10.1186/s41073-020-00096-x
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author Gerwing, Travis G.
Allen Gerwing, Alyssa M.
Avery-Gomm, Stephanie
Choi, Chi-Yeung
Clements, Jeff C.
Rash, Joshua A.
author_facet Gerwing, Travis G.
Allen Gerwing, Alyssa M.
Avery-Gomm, Stephanie
Choi, Chi-Yeung
Clements, Jeff C.
Rash, Joshua A.
author_sort Gerwing, Travis G.
collection PubMed
description BACKGROUND: The process of peer-review in academia has attracted criticism surrounding issues of bias, fairness, and professionalism; however, frequency of occurrence of such comments is unknown. METHODS: We evaluated 1491 sets of reviewer comments from the fields of “Ecology and Evolution” and “Behavioural Medicine,” of which 920 were retrieved from the online review repository Publons and 571 were obtained from six early career investigators. Comment sets were coded for the occurrence of “unprofessional comments” and “incomplete, inaccurate or unsubstantiated critiques” using an a-prior rubric based on our published research. Results are presented as absolute numbers and percentages. RESULTS: Overall, 12% (179) of comment sets included at least one unprofessional comment towards the author or their work, and 41% (611) contained incomplete, inaccurate of unsubstantiated critiques (IIUC). CONCLUSIONS: The large number of unprofessional comments, and IIUCs observed could heighten psychological distress among investigators, particularly those at an early stage in their career. We suggest that development and adherence to a universally agreed upon reviewer code of conduct is necessary to improve the quality and professional experience of peer review.
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spelling pubmed-73798042020-08-04 Quantifying professionalism in peer review Gerwing, Travis G. Allen Gerwing, Alyssa M. Avery-Gomm, Stephanie Choi, Chi-Yeung Clements, Jeff C. Rash, Joshua A. Res Integr Peer Rev Research BACKGROUND: The process of peer-review in academia has attracted criticism surrounding issues of bias, fairness, and professionalism; however, frequency of occurrence of such comments is unknown. METHODS: We evaluated 1491 sets of reviewer comments from the fields of “Ecology and Evolution” and “Behavioural Medicine,” of which 920 were retrieved from the online review repository Publons and 571 were obtained from six early career investigators. Comment sets were coded for the occurrence of “unprofessional comments” and “incomplete, inaccurate or unsubstantiated critiques” using an a-prior rubric based on our published research. Results are presented as absolute numbers and percentages. RESULTS: Overall, 12% (179) of comment sets included at least one unprofessional comment towards the author or their work, and 41% (611) contained incomplete, inaccurate of unsubstantiated critiques (IIUC). CONCLUSIONS: The large number of unprofessional comments, and IIUCs observed could heighten psychological distress among investigators, particularly those at an early stage in their career. We suggest that development and adherence to a universally agreed upon reviewer code of conduct is necessary to improve the quality and professional experience of peer review. BioMed Central 2020-07-24 /pmc/articles/PMC7379804/ /pubmed/32760597 http://dx.doi.org/10.1186/s41073-020-00096-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gerwing, Travis G.
Allen Gerwing, Alyssa M.
Avery-Gomm, Stephanie
Choi, Chi-Yeung
Clements, Jeff C.
Rash, Joshua A.
Quantifying professionalism in peer review
title Quantifying professionalism in peer review
title_full Quantifying professionalism in peer review
title_fullStr Quantifying professionalism in peer review
title_full_unstemmed Quantifying professionalism in peer review
title_short Quantifying professionalism in peer review
title_sort quantifying professionalism in peer review
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379804/
https://www.ncbi.nlm.nih.gov/pubmed/32760597
http://dx.doi.org/10.1186/s41073-020-00096-x
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