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Condorcet and borda count fusion method for ligand-based virtual screening

Overview of attention for article published in Journal of Cheminformatics, May 2014
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
26 Mendeley
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Title
Condorcet and borda count fusion method for ligand-based virtual screening
Published in
Journal of Cheminformatics, May 2014
DOI 10.1186/1758-2946-6-19
Pubmed ID
Authors

Ali Ahmed, Faisal Saeed, Naomie Salim, Ammar Abdo

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Student > Master 4 15%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 1 4%
Other 4 15%
Unknown 5 19%
Readers by discipline Count As %
Computer Science 10 38%
Biochemistry, Genetics and Molecular Biology 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Engineering 2 8%
Business, Management and Accounting 1 4%
Other 3 12%
Unknown 5 19%

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 06 February 2016.
All research outputs
#9,954,380
of 12,434,754 outputs
Outputs from Journal of Cheminformatics
#462
of 494 outputs
Outputs of similar age
#230,123
of 336,067 outputs
Outputs of similar age from Journal of Cheminformatics
#16
of 19 outputs
Altmetric has tracked 12,434,754 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 494 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 1st percentile – i.e., 1% 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 336,067 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 19 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.