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Chemical Entity Semantic Specification: Knowledge representation for efficient semantic cheminformatics and facile data integration

Overview of attention for article published in Journal of Cheminformatics, May 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
45 Mendeley
citeulike
1 CiteULike
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Title
Chemical Entity Semantic Specification: Knowledge representation for efficient semantic cheminformatics and facile data integration
Published in
Journal of Cheminformatics, May 2011
DOI 10.1186/1758-2946-3-20
Pubmed ID
Authors

Leonid L Chepelev, Michel Dumontier

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 9%
Germany 2 4%
United Kingdom 2 4%
Brazil 1 2%
France 1 2%
Bulgaria 1 2%
Canada 1 2%
Italy 1 2%
Unknown 32 71%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Researcher 11 24%
Student > Master 5 11%
Student > Bachelor 4 9%
Student > Postgraduate 3 7%
Other 9 20%
Unknown 2 4%
Readers by discipline Count As %
Computer Science 13 29%
Chemistry 10 22%
Agricultural and Biological Sciences 7 16%
Engineering 4 9%
Psychology 2 4%
Other 7 16%
Unknown 2 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 July 2011.
All research outputs
#1,436,595
of 8,006,495 outputs
Outputs from Journal of Cheminformatics
#188
of 387 outputs
Outputs of similar age
#23,075
of 104,658 outputs
Outputs of similar age from Journal of Cheminformatics
#10
of 14 outputs
Altmetric has tracked 8,006,495 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 387 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 51% 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 104,658 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.