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Peer2ref: a peer-reviewer finding web tool that uses author disambiguation

Overview of attention for article published in BioData Mining, September 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 325)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
twitter
13 X users
googleplus
1 Google+ user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
41 Mendeley
citeulike
5 CiteULike
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Title
Peer2ref: a peer-reviewer finding web tool that uses author disambiguation
Published in
BioData Mining, September 2012
DOI 10.1186/1756-0381-5-14
Pubmed ID
Authors

Miguel A Andrade-Navarro, Gareth A Palidwor, Carol Perez-Iratxeta

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Portugal 1 2%
Germany 1 2%
Netherlands 1 2%
Malaysia 1 2%
United Kingdom 1 2%
Sweden 1 2%
Unknown 33 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 32%
Other 5 12%
Professor 5 12%
Student > Bachelor 3 7%
Student > Ph. D. Student 3 7%
Other 8 20%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 32%
Social Sciences 6 15%
Medicine and Dentistry 6 15%
Computer Science 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 5 12%
Unknown 5 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 26 October 2017.
All research outputs
#2,118,777
of 25,654,806 outputs
Outputs from BioData Mining
#30
of 325 outputs
Outputs of similar age
#13,666
of 187,684 outputs
Outputs of similar age from BioData Mining
#2
of 7 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 325 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done particularly well, scoring higher than 90% 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 187,684 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 92% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.