↓ Skip to main content

Automated compound classification using a chemical ontology

Overview of attention for article published in Journal of Cheminformatics, December 2012
Altmetric Badge

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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
2 blogs
twitter
9 tweeters

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
73 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

The data shown below were collected from the profiles of 9 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 73 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 63 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Researcher 16 22%
Other 7 10%
Student > Master 7 10%
Student > Postgraduate 4 5%
Other 11 15%
Unknown 11 15%
Readers by discipline Count As %
Chemistry 18 25%
Agricultural and Biological Sciences 18 25%
Computer Science 12 16%
Biochemistry, Genetics and Molecular Biology 5 7%
Engineering 3 4%
Other 7 10%
Unknown 10 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 August 2020.
All research outputs
#1,356,906
of 18,639,770 outputs
Outputs from Journal of Cheminformatics
#127
of 702 outputs
Outputs of similar age
#17,623
of 272,305 outputs
Outputs of similar age from Journal of Cheminformatics
#9
of 44 outputs
Altmetric has tracked 18,639,770 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 702 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 81% 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 272,305 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 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.