ArticleScience and engineering ethics2020
The Participation and Motivations of Grant Peer Reviewers: A Comprehensive Survey.
Article in Science and engineering ethics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- The costs and benefits of research grant funding peer review.F1000Research · 2026Article
- Nurses' Motivations, Barriers, and Facilitators to Engage in a Peer Review Process: A Qualitative Study Protocol.Nursing reports (Pavia, Italy) · 2023Article
- Grant Review Feedback: Appropriateness and Usefulness.Science and engineering ethics · 2021Article
- A CTSA-based consultation service to advance research on special and underserved populations.Journal of clinical and translational science · 2020Article
- Grant reviewer perceptions of the quality, effectiveness, and influence of panel discussion.Research integrity and peer review · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Scientific peer reviewers play an integral role in the grant selection process, yet very little has been reported on the levels of participation or the motivations of scientists to take part in peer review. The American Institute of Biological Sciences (AIBS) developed a comprehensive peer review survey that examined the motivations and levels of participation of grant reviewers. The survey was disseminated to 13,091 scientists in AIBS's proprietary database. Of the 874 respondents, 76% indicated they had reviewed grant applications in the last 3 years; however, the number of reviews was unevenly distributed across this sample. Higher review loads were associated with respondents who had submitted more grant proposals over this time period, some of whom were likely to be study section members for large funding agencies. The most prevalent reason to participate in a review was to give back to the scientific community (especially among frequent grant submitters) and the most common reason to decline an invitation to review was lack of time. Interestingly, few suggested that expectation from the funding agency was a motivation to review. Most felt that review participation positively influenced their careers through improving grantsmanship and exposure to new scientific ideas. Of those who reviewed, respondents reported dedicating 2-5% of their total annual work time to grant review and, based on their self-reported maximum review loads, it is estimated they are participating at 56-87% of their capacity, which may have important implications regarding the sustainability of the system. Overall, it is clear that participation in peer review is uneven and in some cases near capacity, and more needs to be done to create new motivations and incentives to increase the future pool of reviewers.
Indexed as
Identifiers
31359327What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.