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Bioalerts: a python library for the derivation of structural alerts from bioactivity and toxicity data sets

Overview of attention for article published in Journal of Cheminformatics, March 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Bioalerts: a python library for the derivation of structural alerts from bioactivity and toxicity data sets
Published in
Journal of Cheminformatics, March 2016
DOI 10.1186/s13321-016-0125-7
Pubmed ID
Authors

Isidro Cortes-Ciriano

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Ph. D. Student 7 15%
Student > Master 6 13%
Other 4 8%
Student > Doctoral Student 3 6%
Other 6 13%
Unknown 9 19%
Readers by discipline Count As %
Chemistry 17 35%
Computer Science 8 17%
Pharmacology, Toxicology and Pharmaceutical Science 6 13%
Biochemistry, Genetics and Molecular Biology 3 6%
Agricultural and Biological Sciences 2 4%
Other 2 4%
Unknown 10 21%
Attention Score in Context

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 26 October 2016.
All research outputs
#15,232,080
of 25,837,817 outputs
Outputs from Journal of Cheminformatics
#711
of 984 outputs
Outputs of similar age
#150,371
of 316,665 outputs
Outputs of similar age from Journal of Cheminformatics
#11
of 17 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 26th percentile – i.e., 26% 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 316,665 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 51% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.