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Percentage-based Author Contribution Index: a universal measure of author contribution to scientific articles
BACKGROUND: Deciphering the amount of work provided by different co-authors of a scientific paper has been a recurrent problem in science. Despite the myriad of metrics available, the scientific community still largely relies on the position in the list of authors to evaluate contributions, a metric...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5803580/ https://www.ncbi.nlm.nih.gov/pubmed/29451536 http://dx.doi.org/10.1186/s41073-017-0042-y |
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author | Boyer, Stéphane Ikeda, Takayoshi Lefort, Marie-Caroline Malumbres-Olarte, Jagoba Schmidt, Jason M. |
author_facet | Boyer, Stéphane Ikeda, Takayoshi Lefort, Marie-Caroline Malumbres-Olarte, Jagoba Schmidt, Jason M. |
author_sort | Boyer, Stéphane |
collection | PubMed |
description | BACKGROUND: Deciphering the amount of work provided by different co-authors of a scientific paper has been a recurrent problem in science. Despite the myriad of metrics available, the scientific community still largely relies on the position in the list of authors to evaluate contributions, a metric that attributes subjective and unfounded credit to co-authors. We propose an easy to apply, universally comparable and fair metric to measure and report co-authors contribution in the scientific literature. METHODS: The proposed Author Contribution Index (ACI) is based on contribution percentages provided by the authors, preferably at the time of submission. Researchers can use ACI to compare the contributions of different authors, describe the contribution profile of a particular researcher or analyse how contribution changes through time. We provide such an analysis based on contribution percentages provided by 97 scientists from the field of ecology who voluntarily responded to an online anonymous survey. RESULTS: ACI is simple to understand and to implement because it is based solely on percentage contributions and the number of co-authors. It provides a continuous score that reflects the contribution of one author as compared to the average contribution of all other authors. For example, ACI(i) = 3, means that author i contributed three times more than what the other authors contributed on average. Our analysis comprised 836 papers published in 2014-2016 and revealed patterns of ACI values that relate to career advancement. CONCLUSION: There are many examples of author contribution indices that have been proposed but none has really been adopted by scientific journals. Many of the proposed solutions are either too complicated, not accurate enough or not comparable across articles, authors and disciplines. The author contribution index presented here addresses these three major issues and has the potential to contribute to more transparency in the science literature. If adopted by scientific journals, it could provide job seekers, recruiters and evaluating bodies with a tool to gather information that is essential to them and cannot be easily and accurately obtained otherwise. We also suggest that scientists use the index regardless of whether it is implemented by journals or not. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41073-017-0042-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5803580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58035802018-02-15 Percentage-based Author Contribution Index: a universal measure of author contribution to scientific articles Boyer, Stéphane Ikeda, Takayoshi Lefort, Marie-Caroline Malumbres-Olarte, Jagoba Schmidt, Jason M. Res Integr Peer Rev Methodology BACKGROUND: Deciphering the amount of work provided by different co-authors of a scientific paper has been a recurrent problem in science. Despite the myriad of metrics available, the scientific community still largely relies on the position in the list of authors to evaluate contributions, a metric that attributes subjective and unfounded credit to co-authors. We propose an easy to apply, universally comparable and fair metric to measure and report co-authors contribution in the scientific literature. METHODS: The proposed Author Contribution Index (ACI) is based on contribution percentages provided by the authors, preferably at the time of submission. Researchers can use ACI to compare the contributions of different authors, describe the contribution profile of a particular researcher or analyse how contribution changes through time. We provide such an analysis based on contribution percentages provided by 97 scientists from the field of ecology who voluntarily responded to an online anonymous survey. RESULTS: ACI is simple to understand and to implement because it is based solely on percentage contributions and the number of co-authors. It provides a continuous score that reflects the contribution of one author as compared to the average contribution of all other authors. For example, ACI(i) = 3, means that author i contributed three times more than what the other authors contributed on average. Our analysis comprised 836 papers published in 2014-2016 and revealed patterns of ACI values that relate to career advancement. CONCLUSION: There are many examples of author contribution indices that have been proposed but none has really been adopted by scientific journals. Many of the proposed solutions are either too complicated, not accurate enough or not comparable across articles, authors and disciplines. The author contribution index presented here addresses these three major issues and has the potential to contribute to more transparency in the science literature. If adopted by scientific journals, it could provide job seekers, recruiters and evaluating bodies with a tool to gather information that is essential to them and cannot be easily and accurately obtained otherwise. We also suggest that scientists use the index regardless of whether it is implemented by journals or not. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41073-017-0042-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-03 /pmc/articles/PMC5803580/ /pubmed/29451536 http://dx.doi.org/10.1186/s41073-017-0042-y Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Methodology Boyer, Stéphane Ikeda, Takayoshi Lefort, Marie-Caroline Malumbres-Olarte, Jagoba Schmidt, Jason M. Percentage-based Author Contribution Index: a universal measure of author contribution to scientific articles |
title | Percentage-based Author Contribution Index: a universal measure of author contribution to scientific articles |
title_full | Percentage-based Author Contribution Index: a universal measure of author contribution to scientific articles |
title_fullStr | Percentage-based Author Contribution Index: a universal measure of author contribution to scientific articles |
title_full_unstemmed | Percentage-based Author Contribution Index: a universal measure of author contribution to scientific articles |
title_short | Percentage-based Author Contribution Index: a universal measure of author contribution to scientific articles |
title_sort | percentage-based author contribution index: a universal measure of author contribution to scientific articles |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5803580/ https://www.ncbi.nlm.nih.gov/pubmed/29451536 http://dx.doi.org/10.1186/s41073-017-0042-y |
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