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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Main Authors: Ferric C Fang, Anthony Bowen, Arturo Casadevall
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2016-02-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/13323
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author Ferric C Fang
Anthony Bowen
Arturo Casadevall
author_facet Ferric C Fang
Anthony Bowen
Arturo Casadevall
author_sort Ferric C Fang
collection DOAJ
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%.
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spelling doaj.art-c50eb5e86971437480e0f471ef5afbb32022-12-22T02:05:28ZengeLife Sciences Publications LtdeLife2050-084X2016-02-01510.7554/eLife.13323NIH peer review percentile scores are poorly predictive of grant productivityFerric C Fang0Anthony Bowen1https://orcid.org/0000-0003-1064-8372Arturo Casadevall2Departments of Laboratory Medicine and Microbiology, University of Washington School of Medicine, Seattle, United StatesDepartment of Microbiology and Immunology, Albert Einstein College of Medicine, New York, United StatesDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United StatesPeer 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%.https://elifesciences.org/articles/13323peer reviewresearch fundingpolicynational institute of healthgrants
spellingShingle Ferric C Fang
Anthony Bowen
Arturo Casadevall
NIH peer review percentile scores are poorly predictive of grant productivity
eLife
peer review
research funding
policy
national institute of health
grants
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 peer review
research funding
policy
national institute of health
grants
url https://elifesciences.org/articles/13323
work_keys_str_mv AT ferriccfang nihpeerreviewpercentilescoresarepoorlypredictiveofgrantproductivity
AT anthonybowen nihpeerreviewpercentilescoresarepoorlypredictiveofgrantproductivity
AT arturocasadevall nihpeerreviewpercentilescoresarepoorlypredictiveofgrantproductivity