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CSgator: an integrated web platform for compound set analysis

Overview of attention for article published in Journal of Cheminformatics, March 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
17 Mendeley
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Title
CSgator: an integrated web platform for compound set analysis
Published in
Journal of Cheminformatics, March 2019
DOI 10.1186/s13321-019-0339-6
Pubmed ID
Authors

Sera Park, Yeajee Kwon, Hyesoo Jung, Sukyung Jang, Haeseung Lee, Wankyu Kim

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Ph. D. Student 4 24%
Other 2 12%
Professor > Associate Professor 2 12%
Student > Master 1 6%
Other 0 0%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 24%
Agricultural and Biological Sciences 2 12%
Computer Science 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Psychology 1 6%
Other 2 12%
Unknown 6 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 March 2019.
All research outputs
#7,475,943
of 14,473,946 outputs
Outputs from Journal of Cheminformatics
#401
of 585 outputs
Outputs of similar age
#115,274
of 264,325 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 14,473,946 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 585 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 29th percentile – i.e., 29% 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 264,325 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 55% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them