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The Role of Medical Structural Genomics in Discovering New Drugs for Infectious Diseases

Overview of attention for article published in PLoS Computational Biology, October 2009
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Mentioned by

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2 X users

Citations

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33 Dimensions

Readers on

mendeley
61 Mendeley
citeulike
4 CiteULike
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Title
The Role of Medical Structural Genomics in Discovering New Drugs for Infectious Diseases
Published in
PLoS Computational Biology, October 2009
DOI 10.1371/journal.pcbi.1000530
Pubmed ID
Authors

Wesley C. Van Voorhis, Wim G. J. Hol, Peter J. Myler, Lance J. Stewart

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
India 1 2%
France 1 2%
Canada 1 2%
Unknown 55 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 21%
Student > Ph. D. Student 12 20%
Professor > Associate Professor 9 15%
Student > Master 8 13%
Student > Doctoral Student 4 7%
Other 9 15%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 49%
Chemistry 6 10%
Biochemistry, Genetics and Molecular Biology 4 7%
Medicine and Dentistry 4 7%
Immunology and Microbiology 4 7%
Other 6 10%
Unknown 7 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 June 2022.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#7,479
of 8,958 outputs
Outputs of similar age
#91,305
of 108,096 outputs
Outputs of similar age from PLoS Computational Biology
#39
of 50 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 11th percentile – i.e., 11% 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 108,096 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.