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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 (#45 of 958)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
46 X users
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
147 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 46 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 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 147 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 18%
Student > Ph. D. Student 22 15%
Student > Master 18 12%
Student > Bachelor 15 10%
Student > Doctoral Student 8 5%
Other 18 12%
Unknown 40 27%
Readers by discipline Count As %
Chemistry 35 24%
Biochemistry, Genetics and Molecular Biology 15 10%
Agricultural and Biological Sciences 14 10%
Pharmacology, Toxicology and Pharmaceutical Science 10 7%
Computer Science 4 3%
Other 20 14%
Unknown 49 33%
Attention Score in Context

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 10 April 2020.
All research outputs
#1,183,444
of 25,393,455 outputs
Outputs from Journal of Cheminformatics
#45
of 958 outputs
Outputs of similar age
#25,810
of 357,399 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 15 outputs
Altmetric has tracked 25,393,455 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 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 particularly well, scoring higher than 95% 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 357,399 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 15 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 99% of its contemporaries.