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Frequency and Type of Conflicts of Interest in the Peer Review of Basic Biomedical Research Funding Applications: Self-Reporting Versus Manual Detection

Overview of attention for article published in Science and Engineering Ethics, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
8 X users
facebook
1 Facebook page

Citations

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6 Dimensions

Readers on

mendeley
28 Mendeley
citeulike
1 CiteULike
Title
Frequency and Type of Conflicts of Interest in the Peer Review of Basic Biomedical Research Funding Applications: Self-Reporting Versus Manual Detection
Published in
Science and Engineering Ethics, February 2015
DOI 10.1007/s11948-015-9631-7
Pubmed ID
Authors

Stephen A. Gallo, Michael Lemaster, Scott R. Glisson

Abstract

Despite the presumed frequency of conflicts of interest in scientific peer review, there is a paucity of data in the literature reporting on the frequency and type of conflicts that occur, particularly with regard to the peer review of basic science applications. To address this gap, the American Institute of Biological Sciences (AIBS) conducted a retrospective analysis of conflict of interest data from the peer review of 282 biomedical research applications via several onsite review panels. The overall conflicted-ness of these panels was significantly lower than that reported for regulatory review. In addition, the majority of identified conflicts were institutional or collaborative in nature. No direct financial conflicts were identified, although this is likely due to the relatively basic science nature of the research. It was also found that 65 % of identified conflicts were manually detected by AIBS staff searching reviewer CVs and application documents, with the remaining 35 % resulting from self-reporting. The lack of self-reporting may be in part attributed to a lack of perceived risk of the conflict. This result indicates that many potential conflicts go unreported in peer review, underscoring the importance of improving detection methods and standardizing the reporting of reviewer and applicant conflict of interest information.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 14%
Student > Ph. D. Student 4 14%
Lecturer 3 11%
Librarian 3 11%
Other 2 7%
Other 7 25%
Unknown 5 18%
Readers by discipline Count As %
Medicine and Dentistry 4 14%
Economics, Econometrics and Finance 4 14%
Social Sciences 3 11%
Business, Management and Accounting 2 7%
Arts and Humanities 2 7%
Other 6 21%
Unknown 7 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 January 2016.
All research outputs
#1,368,724
of 24,289,456 outputs
Outputs from Science and Engineering Ethics
#98
of 950 outputs
Outputs of similar age
#19,544
of 360,586 outputs
Outputs of similar age from Science and Engineering Ethics
#6
of 14 outputs
Altmetric has tracked 24,289,456 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 950 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 360,586 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.