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Employing Molecular Phylodynamic Methods to Identify and Forecast HIV Transmission Clusters in Public Health Settings: A Qualitative Study

Overview of attention for article published in Viruses, August 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Readers on

mendeley
18 Mendeley
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Title
Employing Molecular Phylodynamic Methods to Identify and Forecast HIV Transmission Clusters in Public Health Settings: A Qualitative Study
Published in
Viruses, August 2020
DOI 10.3390/v12090921
Pubmed ID
Authors

Shannan N. Rich, Veronica L. Richards, Carla N. Mavian, William M. Switzer, Brittany Rife Magalis, Karalee Poschman, Shana Geary, Steven E. Broadway, Spencer B. Bennett, Jason Blanton, Thomas Leitner, J. Lucas Boatwright, Nichole E. Stetten, Robert L. Cook, Emma C. Spencer, Marco Salemi, Mattia Prosperi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 17%
Student > Master 3 17%
Other 2 11%
Professor 1 6%
Researcher 1 6%
Other 1 6%
Unknown 7 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 22%
Economics, Econometrics and Finance 2 11%
Immunology and Microbiology 1 6%
Social Sciences 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 9 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 10 April 2024.
All research outputs
#3,710,699
of 25,834,578 outputs
Outputs from Viruses
#1,670
of 10,834 outputs
Outputs of similar age
#92,058
of 427,165 outputs
Outputs of similar age from Viruses
#57
of 329 outputs
Altmetric has tracked 25,834,578 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,834 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done well, scoring higher than 84% 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 427,165 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 329 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.