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Emerging trends in peer review—a survey

Overview of attention for article published in Frontiers in Neuroscience, May 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
4 blogs
twitter
55 X users
peer_reviews
1 peer review site
facebook
3 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
126 Dimensions

Readers on

mendeley
129 Mendeley
citeulike
1 CiteULike
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Title
Emerging trends in peer review—a survey
Published in
Frontiers in Neuroscience, May 2015
DOI 10.3389/fnins.2015.00169
Pubmed ID
Authors

Richard Walker, Pascal Rocha da Silva

Abstract

"Classical peer review" has been subject to intense criticism for slowing down the publication process, bias against specific categories of paper and author, unreliability, inability to detect errors and fraud, unethical practices, and the lack of recognition for unpaid reviewers. This paper surveys innovative forms of peer review that attempt to address these issues. Based on an initial literature review, we construct a sample of 82 channels of scientific communication covering all forms of review identified by the survey, and analyze the review mechanisms used by each channel. We identify two major trends: the rapidly expanding role of preprint servers (e.g., ArXiv) that dispense with traditional peer review altogether, and the growth of "non-selective review," focusing on papers' scientific quality rather than their perceived importance and novelty. Other potentially important developments include forms of "open review," which remove reviewer anonymity, and interactive review, as well as new mechanisms for post-publication review and out-of-channel reader commentary, especially critical commentary targeting high profile papers. One of the strongest findings of the survey is the persistence of major differences between the peer review processes used by different disciplines. None of these differences is likely to disappear in the foreseeable future. The most likely scenario for the coming years is thus continued diversification, in which different review mechanisms serve different author, reader, and publisher needs. Relatively little is known about the impact of these innovations on the problems they address. These are important questions for future quantitative research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 55 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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Germany 2 2%
Switzerland 2 2%
Italy 1 <1%
Brazil 1 <1%
France 1 <1%
Belgium 1 <1%
Finland 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 114 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 16%
Researcher 21 16%
Student > Master 15 12%
Librarian 11 9%
Student > Bachelor 9 7%
Other 34 26%
Unknown 18 14%
Readers by discipline Count As %
Social Sciences 25 19%
Psychology 12 9%
Medicine and Dentistry 11 9%
Computer Science 9 7%
Agricultural and Biological Sciences 9 7%
Other 40 31%
Unknown 23 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 64. 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 12 April 2022.
All research outputs
#679,963
of 25,756,911 outputs
Outputs from Frontiers in Neuroscience
#288
of 11,706 outputs
Outputs of similar age
#7,633
of 280,911 outputs
Outputs of similar age from Frontiers in Neuroscience
#4
of 114 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,706 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 97% 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 280,911 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 97% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.