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A Reliability-Generalization Study of Journal Peer Reviews: A Multilevel Meta-Analysis of Inter-Rater Reliability and Its Determinants

Overview of attention for article published in PLOS ONE, December 2010
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
8 blogs
twitter
46 X users
reddit
1 Redditor

Citations

dimensions_citation
148 Dimensions

Readers on

mendeley
168 Mendeley
citeulike
9 CiteULike
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Title
A Reliability-Generalization Study of Journal Peer Reviews: A Multilevel Meta-Analysis of Inter-Rater Reliability and Its Determinants
Published in
PLOS ONE, December 2010
DOI 10.1371/journal.pone.0014331
Pubmed ID
Authors

Lutz Bornmann, Rüdiger Mutz, Hans-Dieter Daniel

Abstract

This paper presents the first meta-analysis for the inter-rater reliability (IRR) of journal peer reviews. IRR is defined as the extent to which two or more independent reviews of the same scientific document agree.

X Demographics

X Demographics

The data shown below were collected from the profiles of 46 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 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 5%
Germany 4 2%
Spain 3 2%
Switzerland 2 1%
Netherlands 2 1%
United Kingdom 2 1%
Chile 1 <1%
Australia 1 <1%
Italy 1 <1%
Other 5 3%
Unknown 138 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 25%
Student > Ph. D. Student 25 15%
Student > Master 22 13%
Professor 15 9%
Other 13 8%
Other 34 20%
Unknown 17 10%
Readers by discipline Count As %
Psychology 37 22%
Social Sciences 26 15%
Medicine and Dentistry 15 9%
Agricultural and Biological Sciences 14 8%
Computer Science 12 7%
Other 37 22%
Unknown 27 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 84. 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 20 August 2023.
All research outputs
#505,037
of 25,383,225 outputs
Outputs from PLOS ONE
#6,972
of 220,412 outputs
Outputs of similar age
#2,063
of 192,416 outputs
Outputs of similar age from PLOS ONE
#32
of 1,044 outputs
Altmetric has tracked 25,383,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 220,412 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 96% 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 192,416 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 98% of its contemporaries.
We're also able to compare this research output to 1,044 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 97% of its contemporaries.