↓ Skip to main content

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
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
18 Mendeley
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 1. 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 28 August 2020.
All research outputs
#18,741,816
of 23,232,430 outputs
Outputs from Viruses
#6,791
of 8,809 outputs
Outputs of similar age
#300,654
of 399,314 outputs
Outputs of similar age from Viruses
#257
of 322 outputs
Altmetric has tracked 23,232,430 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,809 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 11th percentile – i.e., 11% 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 399,314 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 322 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.