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Patterns of HIV-1 Protein Interaction Identify Perturbed Host-Cellular Subsystems

Overview of attention for article published in PLoS Computational Biology, July 2010
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
2 patents

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
73 Mendeley
citeulike
7 CiteULike
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Title
Patterns of HIV-1 Protein Interaction Identify Perturbed Host-Cellular Subsystems
Published in
PLoS Computational Biology, July 2010
DOI 10.1371/journal.pcbi.1000863
Pubmed ID
Authors

Jamie I. MacPherson, Jonathan E. Dickerson, John W. Pinney, David L. Robertson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
United Kingdom 2 3%
France 1 1%
Austria 1 1%
Brazil 1 1%
Germany 1 1%
Netherlands 1 1%
India 1 1%
Japan 1 1%
Other 1 1%
Unknown 60 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 30%
Researcher 21 29%
Student > Master 6 8%
Other 4 5%
Student > Bachelor 3 4%
Other 11 15%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 53%
Biochemistry, Genetics and Molecular Biology 11 15%
Computer Science 11 15%
Immunology and Microbiology 2 3%
Mathematics 1 1%
Other 4 5%
Unknown 5 7%
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 12 March 2024.
All research outputs
#8,533,995
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#5,636
of 8,958 outputs
Outputs of similar age
#37,897
of 103,508 outputs
Outputs of similar age from PLoS Computational Biology
#33
of 62 outputs
Altmetric has tracked 25,371,288 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 8,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 103,508 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.