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Current V3 genotyping algorithms are inadequate for predicting X4 co-receptor usage in clinical isolates

Overview of attention for article published in AIDS, September 2007
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Mentioned by

patent
1 patent

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
Current V3 genotyping algorithms are inadequate for predicting X4 co-receptor usage in clinical isolates
Published in
AIDS, September 2007
DOI 10.1097/qad.0b013e3282ef81ea
Pubmed ID
Authors

Andrew J Low, Winnie Dong, Dennison Chan, Tobias Sing, Ronald Swanstrom, Mark Jensen, Satish Pillai, Benjamin Good, P Richard Harrigan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 5%
France 1 2%
Germany 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 38 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Researcher 9 20%
Professor > Associate Professor 4 9%
Student > Master 4 9%
Other 3 7%
Other 9 20%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 36%
Medicine and Dentistry 8 18%
Biochemistry, Genetics and Molecular Biology 4 9%
Nursing and Health Professions 2 5%
Computer Science 2 5%
Other 6 14%
Unknown 6 14%
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 19 November 2019.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from AIDS
#2,574
of 6,479 outputs
Outputs of similar age
#28,648
of 81,074 outputs
Outputs of similar age from AIDS
#28
of 49 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,479 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. 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 81,074 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 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.