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Gypsum-DL: an open-source program for preparing small-molecule libraries for structure-based virtual screening

Overview of attention for article published in Journal of Cheminformatics, May 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#43 of 825)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

blogs
1 blog
twitter
47 tweeters
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
121 Mendeley
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Title
Gypsum-DL: an open-source program for preparing small-molecule libraries for structure-based virtual screening
Published in
Journal of Cheminformatics, May 2019
DOI 10.1186/s13321-019-0358-3
Pubmed ID
Authors

Patrick J. Ropp, Jacob O. Spiegel, Jennifer L. Walker, Harrison Green, Guillermo A. Morales, Katherine A. Milliken, John J. Ringe, Jacob D. Durrant

Twitter Demographics

The data shown below were collected from the profiles of 47 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 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 %
Researcher 22 18%
Student > Ph. D. Student 20 17%
Student > Master 17 14%
Student > Bachelor 14 12%
Student > Doctoral Student 7 6%
Other 13 11%
Unknown 28 23%
Readers by discipline Count As %
Chemistry 31 26%
Biochemistry, Genetics and Molecular Biology 15 12%
Agricultural and Biological Sciences 12 10%
Pharmacology, Toxicology and Pharmaceutical Science 10 8%
Computer Science 4 3%
Other 16 13%
Unknown 33 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 17 December 2020.
All research outputs
#981,969
of 22,629,713 outputs
Outputs from Journal of Cheminformatics
#43
of 825 outputs
Outputs of similar age
#21,109
of 291,684 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 22,629,713 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 825 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 94% 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 291,684 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 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them