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Local phylogenetic analysis identifies distinct trends in transmitted HIV drug resistance: implications for public health interventions

Overview of attention for article published in BMC Infectious Diseases, October 2013
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Citations

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Title
Local phylogenetic analysis identifies distinct trends in transmitted HIV drug resistance: implications for public health interventions
Published in
BMC Infectious Diseases, October 2013
DOI 10.1186/1471-2334-13-509
Pubmed ID
Authors

James I Brooks, Harrison Niznick, Marianna Ofner, Harriet Merks, Jonathan B Angel

Abstract

HIV transmitted drug resistance (TDR) surveillance is usually conducted by sampling from a large population. However, overall TDR prevalence results may be inaccurate for many individual clinical setting. We analyzed HIV genotypes at a tertiary care setting in Ottawa, Ontario in order to evaluate local TDR patterns among sub-populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Researcher 6 15%
Student > Doctoral Student 5 12%
Student > Ph. D. Student 4 10%
Other 3 7%
Other 4 10%
Unknown 11 27%
Readers by discipline Count As %
Medicine and Dentistry 12 29%
Agricultural and Biological Sciences 4 10%
Biochemistry, Genetics and Molecular Biology 3 7%
Chemical Engineering 1 2%
Arts and Humanities 1 2%
Other 7 17%
Unknown 13 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 November 2013.
All research outputs
#13,162,991
of 22,729,647 outputs
Outputs from BMC Infectious Diseases
#3,154
of 7,661 outputs
Outputs of similar age
#109,583
of 212,653 outputs
Outputs of similar age from BMC Infectious Diseases
#46
of 124 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,661 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 57% 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 212,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 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 61% of its contemporaries.