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Dating the Age of the SIV Lineages That Gave Rise to HIV-1 and HIV-2

Overview of attention for article published in PLoS Computational Biology, May 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
3 blogs
twitter
6 X users
wikipedia
8 Wikipedia pages
googleplus
2 Google+ users
q&a
1 Q&A thread
video
2 YouTube creators

Citations

dimensions_citation
144 Dimensions

Readers on

mendeley
245 Mendeley
citeulike
3 CiteULike
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Title
Dating the Age of the SIV Lineages That Gave Rise to HIV-1 and HIV-2
Published in
PLoS Computational Biology, May 2009
DOI 10.1371/journal.pcbi.1000377
Pubmed ID
Authors

Joel O. Wertheim, Michael Worobey

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 4 2%
South Africa 3 1%
Brazil 2 <1%
Cameroon 1 <1%
France 1 <1%
Colombia 1 <1%
Chile 1 <1%
Germany 1 <1%
Other 2 <1%
Unknown 224 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 19%
Student > Master 44 18%
Researcher 38 16%
Student > Bachelor 32 13%
Professor 13 5%
Other 50 20%
Unknown 22 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 99 40%
Biochemistry, Genetics and Molecular Biology 43 18%
Medicine and Dentistry 27 11%
Immunology and Microbiology 12 5%
Mathematics 5 2%
Other 28 11%
Unknown 31 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 23 December 2023.
All research outputs
#1,322,415
of 25,861,751 outputs
Outputs from PLoS Computational Biology
#1,083
of 9,057 outputs
Outputs of similar age
#3,407
of 105,687 outputs
Outputs of similar age from PLoS Computational Biology
#7
of 52 outputs
Altmetric has tracked 25,861,751 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,057 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 well, scoring higher than 88% 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 105,687 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 96% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.