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Effect of misclassification of antiretroviral treatment status on the prevalence of transmitted HIV-1 drug resistance

Overview of attention for article published in BMC Medical Research Methodology, March 2012
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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
Effect of misclassification of antiretroviral treatment status on the prevalence of transmitted HIV-1 drug resistance
Published in
BMC Medical Research Methodology, March 2012
DOI 10.1186/1471-2288-12-30
Pubmed ID
Authors

Hannah Castro, Deenan Pillay, Caroline Sabin, David T Dunn, the UK Collaborative Group on HIV Drug Resistance

Abstract

Estimates of the prevalence of transmitted HIV drug resistance (TDR) in a population are derived from resistance tests performed on samples from patients thought to be naïve to antiretroviral treatment (ART). Much of the debate over reliability of estimates of the prevalence of TDR has focused on whether the sample population is representative. However estimates of the prevalence of TDR will also be distorted if some ART-experienced patients are misclassified as ART-naïve.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 18%
Student > Bachelor 3 18%
Researcher 3 18%
Student > Master 2 12%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Medicine and Dentistry 3 18%
Immunology and Microbiology 2 12%
Agricultural and Biological Sciences 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Mathematics 1 6%
Other 3 18%
Unknown 5 29%
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 30 May 2012.
All research outputs
#14,063,113
of 23,310,485 outputs
Outputs from BMC Medical Research Methodology
#1,368
of 2,057 outputs
Outputs of similar age
#91,612
of 157,974 outputs
Outputs of similar age from BMC Medical Research Methodology
#18
of 42 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,057 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 32nd percentile – i.e., 32% 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 157,974 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 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 59% of its contemporaries.