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Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery

Overview of attention for article published in Journal of Cheminformatics, January 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 (#24 of 572)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
2 blogs
twitter
30 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
38 Mendeley
citeulike
3 CiteULike
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Title
Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery
Published in
Journal of Cheminformatics, January 2019
DOI 10.1186/s13321-018-0325-4
Pubmed ID
Authors

Nicolas Bosc, Francis Atkinson, Eloy Felix, Anna Gaulton, Anne Hersey, Andrew R. Leach

Twitter Demographics

The data shown below were collected from the profiles of 30 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Ph. D. Student 8 21%
Student > Master 6 16%
Other 2 5%
Professor 1 3%
Other 3 8%
Unknown 6 16%
Readers by discipline Count As %
Chemistry 12 32%
Computer Science 6 16%
Pharmacology, Toxicology and Pharmaceutical Science 4 11%
Social Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 3 8%
Unknown 9 24%

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 19 December 2019.
All research outputs
#544,131
of 14,155,721 outputs
Outputs from Journal of Cheminformatics
#24
of 572 outputs
Outputs of similar age
#24,296
of 368,632 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 69 outputs
Altmetric has tracked 14,155,721 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 572 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. 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 368,632 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 69 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 94% of its contemporaries.