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CReM: chemically reasonable mutations framework for structure generation

Overview of attention for article published in Journal of Cheminformatics, April 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 (91st percentile)

Mentioned by

blogs
2 blogs
twitter
28 X users

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
114 Mendeley
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Title
CReM: chemically reasonable mutations framework for structure generation
Published in
Journal of Cheminformatics, April 2020
DOI 10.1186/s13321-020-00431-w
Pubmed ID
Authors

Pavel Polishchuk

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 25%
Researcher 21 18%
Student > Master 16 14%
Student > Bachelor 7 6%
Other 2 2%
Other 4 4%
Unknown 36 32%
Readers by discipline Count As %
Chemistry 30 26%
Computer Science 11 10%
Biochemistry, Genetics and Molecular Biology 9 8%
Pharmacology, Toxicology and Pharmaceutical Science 7 6%
Chemical Engineering 5 4%
Other 13 11%
Unknown 39 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 08 January 2024.
All research outputs
#1,360,503
of 25,147,320 outputs
Outputs from Journal of Cheminformatics
#74
of 946 outputs
Outputs of similar age
#34,768
of 379,966 outputs
Outputs of similar age from Journal of Cheminformatics
#3
of 24 outputs
Altmetric has tracked 25,147,320 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 946 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 92% 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 379,966 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 24 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 91% of its contemporaries.