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Phylogenetic methods inconsistently predict direction of HIV transmission among heterosexual pairs in the HPTN052 cohort

Overview of attention for article published in Journal of Infectious Diseases, December 2018
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2 X users

Citations

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21 Dimensions

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mendeley
45 Mendeley
Title
Phylogenetic methods inconsistently predict direction of HIV transmission among heterosexual pairs in the HPTN052 cohort
Published in
Journal of Infectious Diseases, December 2018
DOI 10.1093/infdis/jiy734
Pubmed ID
Authors

Rebecca Rose, Matthew Hall, Andrew D Redd, Susanna Lamers, Andrew E Barbier, Stephen F Porcella, Sarah E Hudelson, Estelle Piwowar-Manning, Marybeth McCauley, Theresa Gamble, Ethan A Wilson, Johnstone Kumwenda, Mina C Hosseinipour, James G Hakim, Nagalingeswaran Kumarasamy, Suwat Chariyalertsak, Jose H Pilotto, Beatriz Grinsztejn, Lisa A Mills, Joseph Makhema, Breno R Santos, Ying Q Chen, Thomas C Quinn, Christophe Fraser, Myron S Cohen, Susan H Eshleman, Oliver Laeyendecker

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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Professor 4 9%
Student > Master 3 7%
Student > Bachelor 3 7%
Student > Postgraduate 2 4%
Other 9 20%
Unknown 17 38%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Agricultural and Biological Sciences 5 11%
Immunology and Microbiology 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Mathematics 1 2%
Other 6 13%
Unknown 19 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 December 2018.
All research outputs
#16,108,994
of 25,461,852 outputs
Outputs from Journal of Infectious Diseases
#12,135
of 14,818 outputs
Outputs of similar age
#253,613
of 446,076 outputs
Outputs of similar age from Journal of Infectious Diseases
#84
of 131 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,818 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one is in the 16th percentile – i.e., 16% 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 446,076 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.