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MOLA: a bootable, self-configuring system for virtual screening using AutoDock4/Vina on computer clusters

Overview of attention for article published in Journal of Cheminformatics, October 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
MOLA: a bootable, self-configuring system for virtual screening using AutoDock4/Vina on computer clusters
Published in
Journal of Cheminformatics, October 2010
DOI 10.1186/1758-2946-2-10
Pubmed ID
Authors

Rui MV Abreu, Hugo JC Froufe, Maria João RP Queiroz, Isabel CFR Ferreira

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 3%
United States 2 3%
Indonesia 1 1%
United Kingdom 1 1%
Chile 1 1%
Unknown 68 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Researcher 11 15%
Student > Master 10 13%
Student > Bachelor 9 12%
Professor > Associate Professor 6 8%
Other 11 15%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 32%
Biochemistry, Genetics and Molecular Biology 12 16%
Computer Science 7 9%
Chemistry 6 8%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Other 7 9%
Unknown 14 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 March 2012.
All research outputs
#3,992,466
of 23,289,753 outputs
Outputs from Journal of Cheminformatics
#391
of 862 outputs
Outputs of similar age
#17,811
of 100,538 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 4 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 862 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 100,538 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.