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Appraising the performance of genotyping tools in the prediction of coreceptor tropism in HIV-1 subtype C viruses

Overview of attention for article published in BMC Infectious Diseases, September 2012
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Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
30 Mendeley
citeulike
1 CiteULike
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Title
Appraising the performance of genotyping tools in the prediction of coreceptor tropism in HIV-1 subtype C viruses
Published in
BMC Infectious Diseases, September 2012
DOI 10.1186/1471-2334-12-203
Pubmed ID
Authors

Saleema Crous, Ram Krishna Shrestha, Simon A Travers

Abstract

In human immunodeficiency virus type 1 (HIV-1) infection, transmitted viruses generally use the CCR5 chemokine receptor as a coreceptor for host cell entry. In more than 50% of subtype B infections, a switch in coreceptor tropism from CCR5- to CXCR4-use occurs during disease progression. Phenotypic or genotypic approaches can be used to test for the presence of CXCR4-using viral variants in an individual's viral population that would result in resistance to treatment with CCR5-antagonists. While genotyping approaches for coreceptor-tropism prediction in subtype B are well established and verified, they are less so for subtype C.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 3%
South Africa 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Researcher 7 23%
Student > Master 5 17%
Professor 3 10%
Lecturer 2 7%
Other 2 7%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 33%
Biochemistry, Genetics and Molecular Biology 5 17%
Medicine and Dentistry 5 17%
Unspecified 1 3%
Business, Management and Accounting 1 3%
Other 4 13%
Unknown 4 13%

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 05 September 2012.
All research outputs
#13,066,165
of 21,338,376 outputs
Outputs from BMC Infectious Diseases
#3,301
of 7,269 outputs
Outputs of similar age
#83,981
of 148,372 outputs
Outputs of similar age from BMC Infectious Diseases
#1
of 1 outputs
Altmetric has tracked 21,338,376 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,269 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 52% 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 148,372 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them