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Alternatives to Peer Review: Novel Approaches for Research Evaluation

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#36 of 1,475)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
32 X users
googleplus
2 Google+ users

Readers on

mendeley
122 Mendeley
citeulike
4 CiteULike
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Title
Alternatives to Peer Review: Novel Approaches for Research Evaluation
Published in
Frontiers in Computational Neuroscience, January 2011
DOI 10.3389/fncom.2011.00056
Pubmed ID
Authors

Aliaksandr Birukou, Joseph Rushton Wakeling, Claudio Bartolini, Fabio Casati, Maurizio Marchese, Katsiaryna Mirylenka, Nardine Osman, Azzurra Ragone, Carles Sierra, Aalam Wassef

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 3%
France 3 2%
United States 3 2%
Netherlands 2 2%
Malaysia 1 <1%
Brazil 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Portugal 1 <1%
Other 4 3%
Unknown 101 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 23%
Student > Master 20 16%
Student > Ph. D. Student 13 11%
Other 10 8%
Librarian 8 7%
Other 29 24%
Unknown 14 11%
Readers by discipline Count As %
Medicine and Dentistry 16 13%
Computer Science 15 12%
Social Sciences 14 11%
Agricultural and Biological Sciences 13 11%
Psychology 7 6%
Other 38 31%
Unknown 19 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 29 April 2024.
All research outputs
#873,256
of 25,810,956 outputs
Outputs from Frontiers in Computational Neuroscience
#36
of 1,475 outputs
Outputs of similar age
#3,817
of 192,798 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#2
of 23 outputs
Altmetric has tracked 25,810,956 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 192,798 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 23 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 91% of its contemporaries.