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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
2 news outlets
twitter
10 X users

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
121 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
Pubmed ID
Authors

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

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 19%
Student > Bachelor 18 15%
Researcher 12 10%
Student > Master 10 8%
Student > Doctoral Student 6 5%
Other 10 8%
Unknown 42 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 19%
Chemistry 15 12%
Agricultural and Biological Sciences 9 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Computer Science 3 2%
Other 15 12%
Unknown 52 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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
#1,572,954
of 25,381,384 outputs
Outputs from Journal of Cheminformatics
#101
of 958 outputs
Outputs of similar age
#41,784
of 402,026 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 20 outputs
Altmetric has tracked 25,381,384 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done well, scoring higher than 89% 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 402,026 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 89% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.