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EDock: blind protein–ligand docking by replica-exchange monte carlo simulation

Overview of attention for article published in Journal of Cheminformatics, May 2020
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
2 news outlets
twitter
10 tweeters

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
92 Mendeley
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Title
EDock: blind protein–ligand docking by replica-exchange monte carlo simulation
Published in
Journal of Cheminformatics, May 2020
DOI 10.1186/s13321-020-00440-9
Authors

Wenyi Zhang, Eric W. Bell, Minghao Yin, Yang Zhang

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Student > Bachelor 15 16%
Researcher 10 11%
Student > Master 7 8%
Student > Doctoral Student 6 7%
Other 7 8%
Unknown 28 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 20%
Chemistry 11 12%
Agricultural and Biological Sciences 6 7%
Computer Science 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 13 14%
Unknown 36 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 July 2022.
All research outputs
#1,333,786
of 22,957,478 outputs
Outputs from Journal of Cheminformatics
#98
of 840 outputs
Outputs of similar age
#39,402
of 394,539 outputs
Outputs of similar age from Journal of Cheminformatics
#3
of 21 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 840 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 done well, scoring higher than 88% 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 394,539 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.