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A ligand-based computational drug repurposing pipeline using KNIME and Programmatic Data Access: case studies for rare diseases and COVID-19

Overview of attention for article published in Journal of Cheminformatics, November 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
31 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
65 Mendeley
Title
A ligand-based computational drug repurposing pipeline using KNIME and Programmatic Data Access: case studies for rare diseases and COVID-19
Published in
Journal of Cheminformatics, November 2020
DOI 10.1186/s13321-020-00474-z
Pubmed ID
Authors

Alzbeta Tuerkova, Barbara Zdrazil

Twitter Demographics

The data shown below were collected from the profiles of 31 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 14%
Researcher 9 14%
Student > Master 9 14%
Student > Bachelor 5 8%
Other 4 6%
Other 14 22%
Unknown 15 23%
Readers by discipline Count As %
Chemistry 11 17%
Pharmacology, Toxicology and Pharmaceutical Science 10 15%
Biochemistry, Genetics and Molecular Biology 4 6%
Medicine and Dentistry 4 6%
Unspecified 4 6%
Other 16 25%
Unknown 16 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 21 November 2021.
All research outputs
#1,095,368
of 22,851,489 outputs
Outputs from Journal of Cheminformatics
#55
of 836 outputs
Outputs of similar age
#31,759
of 505,031 outputs
Outputs of similar age from Journal of Cheminformatics
#3
of 14 outputs
Altmetric has tracked 22,851,489 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 836 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 93% 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 505,031 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 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.