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NIH peer review percentile scores are poorly predictive of grant productivity

Peer review is widely used to assess grant applications so that the highest ranked applications can be funded. A number of studies have questioned the ability of peer review panels to predict the productivity of applications, but a recent analysis of grants funded by the National Institutes of Healt...

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Detalles Bibliográficos
Autores principales: Fang, Ferric C, Bowen, Anthony, Casadevall, Arturo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769156/
https://www.ncbi.nlm.nih.gov/pubmed/26880623
http://dx.doi.org/10.7554/eLife.13323
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author Fang, Ferric C
Bowen, Anthony
Casadevall, Arturo
author_facet Fang, Ferric C
Bowen, Anthony
Casadevall, Arturo
author_sort Fang, Ferric C
collection PubMed
description Peer review is widely used to assess grant applications so that the highest ranked applications can be funded. A number of studies have questioned the ability of peer review panels to predict the productivity of applications, but a recent analysis of grants funded by the National Institutes of Health (NIH) in the US found that the percentile scores awarded by peer review panels correlated with productivity as measured by citations of grant-supported publications. Here, based on a re-analysis of these data for the 102,740 funded grants with percentile scores of 20 or better, we report that these percentile scores are a poor discriminator of productivity. This underscores the limitations of peer review as a means of assessing grant applications in an era when typical success rates are often as low as about 10%. DOI: http://dx.doi.org/10.7554/eLife.13323.001
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spelling pubmed-47691562016-02-29 NIH peer review percentile scores are poorly predictive of grant productivity Fang, Ferric C Bowen, Anthony Casadevall, Arturo eLife Human Biology and Medicine Peer review is widely used to assess grant applications so that the highest ranked applications can be funded. A number of studies have questioned the ability of peer review panels to predict the productivity of applications, but a recent analysis of grants funded by the National Institutes of Health (NIH) in the US found that the percentile scores awarded by peer review panels correlated with productivity as measured by citations of grant-supported publications. Here, based on a re-analysis of these data for the 102,740 funded grants with percentile scores of 20 or better, we report that these percentile scores are a poor discriminator of productivity. This underscores the limitations of peer review as a means of assessing grant applications in an era when typical success rates are often as low as about 10%. DOI: http://dx.doi.org/10.7554/eLife.13323.001 eLife Sciences Publications, Ltd 2016-02-16 /pmc/articles/PMC4769156/ /pubmed/26880623 http://dx.doi.org/10.7554/eLife.13323 Text en © 2016, Fang et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Human Biology and Medicine
Fang, Ferric C
Bowen, Anthony
Casadevall, Arturo
NIH peer review percentile scores are poorly predictive of grant productivity
title NIH peer review percentile scores are poorly predictive of grant productivity
title_full NIH peer review percentile scores are poorly predictive of grant productivity
title_fullStr NIH peer review percentile scores are poorly predictive of grant productivity
title_full_unstemmed NIH peer review percentile scores are poorly predictive of grant productivity
title_short NIH peer review percentile scores are poorly predictive of grant productivity
title_sort nih peer review percentile scores are poorly predictive of grant productivity
topic Human Biology and Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769156/
https://www.ncbi.nlm.nih.gov/pubmed/26880623
http://dx.doi.org/10.7554/eLife.13323
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