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Simple Epidemiological Dynamics Explain Phylogenetic Clustering of HIV from Patients with Recent Infection

Overview of attention for article published in PLoS Computational Biology, June 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
108 Mendeley
citeulike
3 CiteULike
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Title
Simple Epidemiological Dynamics Explain Phylogenetic Clustering of HIV from Patients with Recent Infection
Published in
PLoS Computational Biology, June 2012
DOI 10.1371/journal.pcbi.1002552
Pubmed ID
Authors

Erik M. Volz, James S. Koopman, Melissa J. Ward, Andrew Leigh Brown, Simon D. W. Frost

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 4%
United States 4 4%
Portugal 2 2%
Canada 1 <1%
Italy 1 <1%
Unknown 96 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 21%
Student > Ph. D. Student 22 20%
Student > Doctoral Student 8 7%
Professor 7 6%
Student > Postgraduate 7 6%
Other 27 25%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 26%
Medicine and Dentistry 22 20%
Biochemistry, Genetics and Molecular Biology 7 6%
Computer Science 7 6%
Mathematics 4 4%
Other 17 16%
Unknown 23 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 December 2017.
All research outputs
#7,060,650
of 25,411,814 outputs
Outputs from PLoS Computational Biology
#4,782
of 8,976 outputs
Outputs of similar age
#47,516
of 177,653 outputs
Outputs of similar age from PLoS Computational Biology
#54
of 108 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,976 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 177,653 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.