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Prediction of Co-Receptor Usage of HIV-1 from Genotype

Overview of attention for article published in PLoS Computational Biology, April 2010
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
77 Mendeley
citeulike
2 CiteULike
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Title
Prediction of Co-Receptor Usage of HIV-1 from Genotype
Published in
PLoS Computational Biology, April 2010
DOI 10.1371/journal.pcbi.1000743
Pubmed ID
Authors

J. Nikolaj Dybowski, Dominik Heider, Daniel Hoffmann

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
France 1 1%
Italy 1 1%
Brazil 1 1%
South Africa 1 1%
Canada 1 1%
China 1 1%
United States 1 1%
Unknown 69 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 25%
Researcher 11 14%
Student > Bachelor 10 13%
Student > Master 9 12%
Other 7 9%
Other 13 17%
Unknown 8 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 38%
Computer Science 11 14%
Biochemistry, Genetics and Molecular Biology 7 9%
Medicine and Dentistry 6 8%
Physics and Astronomy 3 4%
Other 11 14%
Unknown 10 13%
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 26 November 2012.
All research outputs
#8,745,608
of 25,887,951 outputs
Outputs from PLoS Computational Biology
#5,699
of 9,065 outputs
Outputs of similar age
#38,534
of 104,847 outputs
Outputs of similar age from PLoS Computational Biology
#34
of 51 outputs
Altmetric has tracked 25,887,951 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 9,065 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one is in the 33rd percentile – i.e., 33% 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 104,847 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.