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Automated compound classification using a chemical ontology

Overview of attention for article published in Journal of Cheminformatics, December 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
2 blogs
twitter
8 tweeters
patent
1 patent

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
74 Mendeley
citeulike
3 CiteULike
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Title
Automated compound classification using a chemical ontology
Published in
Journal of Cheminformatics, December 2012
DOI 10.1186/1758-2946-4-40
Pubmed ID
Authors

Claudia Bobach, Timo Böhme, Ulf Laube, Anett Püschel, Lutz Weber

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 3%
Germany 2 3%
Netherlands 1 1%
Brazil 1 1%
United Kingdom 1 1%
Canada 1 1%
Russia 1 1%
United States 1 1%
Unknown 64 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Researcher 16 22%
Student > Master 8 11%
Other 7 9%
Student > Postgraduate 4 5%
Other 10 14%
Unknown 12 16%
Readers by discipline Count As %
Chemistry 18 24%
Agricultural and Biological Sciences 18 24%
Computer Science 11 15%
Biochemistry, Genetics and Molecular Biology 5 7%
Engineering 3 4%
Other 7 9%
Unknown 12 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 27 December 2022.
All research outputs
#1,646,706
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#130
of 891 outputs
Outputs of similar age
#15,334
of 288,190 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 21 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 85% 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 288,190 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 94% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.