Title |
Peer Review of Grant Applications: A Simple Method to Identify Proposals with Discordant Reviews
|
---|---|
Published in |
PLOS ONE, November 2011
|
DOI | 10.1371/journal.pone.0027557 |
Pubmed ID | |
Authors |
Bruno Giraudeau, Clémence Leyrat, Amélie Le Gouge, Julie Léger, Agnès Caille |
Abstract |
Grant proposals submitted for funding are usually selected by a peer-review rating process. Some proposals may result in discordant peer-review ratings and therefore require discussion by the selection committee members. The issue is which peer-review ratings are considered as discordant. We propose a simple method to identify such proposals. Our approach is based on the intraclass correlation coefficient, which is usually used in assessing agreement in studies with continuous ratings. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 6% |
Spain | 2 | 6% |
Canada | 1 | 3% |
Brazil | 1 | 3% |
Belgium | 1 | 3% |
United States | 1 | 3% |
Unknown | 26 | 76% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 9 | 26% |
Student > Ph. D. Student | 7 | 21% |
Researcher | 6 | 18% |
Professor | 5 | 15% |
Professor > Associate Professor | 2 | 6% |
Other | 4 | 12% |
Unknown | 1 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 7 | 21% |
Biochemistry, Genetics and Molecular Biology | 4 | 12% |
Business, Management and Accounting | 3 | 9% |
Social Sciences | 3 | 9% |
Medicine and Dentistry | 3 | 9% |
Other | 9 | 26% |
Unknown | 5 | 15% |