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Topic Pages: PLoS Computational Biology Meets Wikipedia

Overview of attention for article published in PLoS Computational Biology, March 2012
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
blogs
9 blogs
twitter
121 X users
wikipedia
4 Wikipedia pages
googleplus
10 Google+ users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
48 Mendeley
citeulike
10 CiteULike
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Title
Topic Pages: PLoS Computational Biology Meets Wikipedia
Published in
PLoS Computational Biology, March 2012
DOI 10.1371/journal.pcbi.1002446
Pubmed ID
Authors

Shoshana J. Wodak, Daniel Mietchen, Andrew M. Collings, Robert B. Russell, Philip E. Bourne

X Demographics

X Demographics

The data shown below were collected from the profiles of 121 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 21%
Germany 2 4%
Brazil 2 4%
Sweden 1 2%
Israel 1 2%
Norway 1 2%
Belgium 1 2%
Mexico 1 2%
Japan 1 2%
Other 1 2%
Unknown 27 56%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 42%
Professor > Associate Professor 7 15%
Student > Ph. D. Student 5 10%
Student > Master 5 10%
Student > Postgraduate 4 8%
Other 7 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 50%
Computer Science 8 17%
Biochemistry, Genetics and Molecular Biology 3 6%
Business, Management and Accounting 3 6%
Social Sciences 2 4%
Other 6 13%
Unknown 2 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 155. 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 19 April 2021.
All research outputs
#270,245
of 25,759,158 outputs
Outputs from PLoS Computational Biology
#171
of 9,032 outputs
Outputs of similar age
#1,123
of 173,154 outputs
Outputs of similar age from PLoS Computational Biology
#2
of 103 outputs
Altmetric has tracked 25,759,158 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 9,032 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one has done particularly well, scoring higher than 98% 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 173,154 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 99% of its contemporaries.
We're also able to compare this research output to 103 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 98% of its contemporaries.