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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 (#38 of 841)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
127 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 49 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 20%
Student > Ph. D. Student 20 16%
Student > Master 17 13%
Student > Bachelor 14 11%
Student > Doctoral Student 9 7%
Other 14 11%
Unknown 28 22%
Readers by discipline Count As %
Chemistry 32 25%
Biochemistry, Genetics and Molecular Biology 15 12%
Agricultural and Biological Sciences 14 11%
Pharmacology, Toxicology and Pharmaceutical Science 11 9%
Computer Science 5 4%
Other 17 13%
Unknown 33 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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
#980,137
of 23,011,300 outputs
Outputs from Journal of Cheminformatics
#38
of 841 outputs
Outputs of similar age
#23,750
of 349,612 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 15 outputs
Altmetric has tracked 23,011,300 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 841 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 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 349,612 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 93% 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.