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Digital Epidemiology

Overview of attention for article published in PLoS Computational Biology, July 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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
90 X users
facebook
2 Facebook pages
wikipedia
2 Wikipedia pages
reddit
1 Redditor

Citations

dimensions_citation
401 Dimensions

Readers on

mendeley
540 Mendeley
citeulike
2 CiteULike
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Title
Digital Epidemiology
Published in
PLoS Computational Biology, July 2012
DOI 10.1371/journal.pcbi.1002616
Pubmed ID
Authors

Marcel Salathé, Linus Bengtsson, Todd J. Bodnar, Devon D. Brewer, John S. Brownstein, Caroline Buckee, Ellsworth M. Campbell, Ciro Cattuto, Shashank Khandelwal, Patricia L. Mabry, Alessandro Vespignani

X Demographics

X Demographics

The data shown below were collected from the profiles of 90 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 540 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 3%
United Kingdom 5 <1%
Switzerland 4 <1%
Brazil 4 <1%
Italy 3 <1%
France 2 <1%
Portugal 2 <1%
Spain 2 <1%
Canada 2 <1%
Other 9 2%
Unknown 490 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 104 19%
Student > Ph. D. Student 100 19%
Student > Master 79 15%
Student > Bachelor 38 7%
Other 31 6%
Other 118 22%
Unknown 70 13%
Readers by discipline Count As %
Medicine and Dentistry 93 17%
Agricultural and Biological Sciences 69 13%
Computer Science 68 13%
Social Sciences 52 10%
Mathematics 14 3%
Other 138 26%
Unknown 106 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 93. 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 03 February 2023.
All research outputs
#461,963
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#321
of 9,038 outputs
Outputs of similar age
#2,181
of 182,944 outputs
Outputs of similar age from PLoS Computational Biology
#3
of 110 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,038 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 182,944 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 110 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.