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The rcdk and cluster R packages applied to drug candidate selection

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

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
16 Mendeley
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Title
The rcdk and cluster R packages applied to drug candidate selection
Published in
Journal of Cheminformatics, January 2020
DOI 10.1186/s13321-019-0405-0
Authors

Adrian Voicu, Narcis Duteanu, Mirela Voicu, Daliborca Vlad, Victor Dumitrascu

Twitter Demographics

The data shown below were collected from the profiles of 7 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Researcher 2 13%
Student > Bachelor 2 13%
Lecturer 1 6%
Professor 1 6%
Other 3 19%
Unknown 3 19%
Readers by discipline Count As %
Chemistry 6 38%
Biochemistry, Genetics and Molecular Biology 2 13%
Medicine and Dentistry 2 13%
Agricultural and Biological Sciences 1 6%
Unknown 5 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 January 2020.
All research outputs
#4,649,060
of 15,488,719 outputs
Outputs from Journal of Cheminformatics
#387
of 615 outputs
Outputs of similar age
#103,185
of 287,336 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 2 outputs
Altmetric has tracked 15,488,719 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 615 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 287,336 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.