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A statistical framework to evaluate virtual screening

Overview of attention for article published in BMC Bioinformatics, July 2009
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2 X users

Citations

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82 Dimensions

Readers on

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125 Mendeley
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4 CiteULike
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Title
A statistical framework to evaluate virtual screening
Published in
BMC Bioinformatics, July 2009
DOI 10.1186/1471-2105-10-225
Pubmed ID
Authors

Wei Zhao, Kirk E Hevener, Stephen W White, Richard E Lee, James M Boyett

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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
Brazil 3 2%
United States 3 2%
Portugal 1 <1%
India 1 <1%
Canada 1 <1%
Singapore 1 <1%
Netherlands 1 <1%
Denmark 1 <1%
Other 3 2%
Unknown 107 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 25%
Researcher 23 18%
Student > Master 17 14%
Student > Bachelor 11 9%
Professor > Associate Professor 9 7%
Other 21 17%
Unknown 13 10%
Readers by discipline Count As %
Chemistry 38 30%
Computer Science 16 13%
Agricultural and Biological Sciences 15 12%
Pharmacology, Toxicology and Pharmaceutical Science 14 11%
Biochemistry, Genetics and Molecular Biology 12 10%
Other 13 10%
Unknown 17 14%
Attention Score in Context

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 25 January 2016.
All research outputs
#13,453,089
of 22,837,982 outputs
Outputs from BMC Bioinformatics
#4,200
of 7,288 outputs
Outputs of similar age
#91,010
of 110,750 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 31 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 38th percentile – i.e., 38% 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 110,750 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.