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Scientometrics of peer review

Overview of attention for article published in Scientometrics, September 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
6 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
46 Mendeley
citeulike
1 CiteULike
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Title
Scientometrics of peer review
Published in
Scientometrics, September 2017
DOI 10.1007/s11192-017-2518-4
Pubmed ID
Authors

Flaminio Squazzoni, Elise Brezis, Ana Marušić

Abstract

This article aims to introduce a special issue on "Scientometrics of peer review", which collects papers originally presented at workshops and conferences organised by the COST ACTION TD1306 "New frontiers of peer review". Peer review is the cornerstone of science and is one of the underlying processes that bring about publication traces that are at the heart of bibliometric studies. Unfortunately, despite its importance, quantitative studies on peer review are still poorly developed, often due to lack of data. The issue aims to promote the establishment of peer review as an interdisciplinary field of research and stimulate further quantitative research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Master 7 15%
Librarian 4 9%
Student > Ph. D. Student 3 7%
Professor 3 7%
Other 9 20%
Unknown 11 24%
Readers by discipline Count As %
Social Sciences 10 22%
Agricultural and Biological Sciences 5 11%
Computer Science 4 9%
Economics, Econometrics and Finance 2 4%
Psychology 2 4%
Other 10 22%
Unknown 13 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 14 September 2021.
All research outputs
#5,201,467
of 25,307,332 outputs
Outputs from Scientometrics
#948
of 2,898 outputs
Outputs of similar age
#82,083
of 322,461 outputs
Outputs of similar age from Scientometrics
#19
of 48 outputs
Altmetric has tracked 25,307,332 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,898 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 67% 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 322,461 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 48 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 62% of its contemporaries.