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tmChem: a high performance approach for chemical named entity recognition and normalization

Overview of attention for article published in Journal of Cheminformatics, January 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
170 Dimensions

Readers on

mendeley
207 Mendeley
citeulike
1 CiteULike
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Title
tmChem: a high performance approach for chemical named entity recognition and normalization
Published in
Journal of Cheminformatics, January 2015
DOI 10.1186/1758-2946-7-s1-s3
Pubmed ID
Authors

Robert Leaman, Chih-Hsuan Wei, Zhiyong Lu

Mendeley readers

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
United States 2 <1%
South Africa 1 <1%
Netherlands 1 <1%
Spain 1 <1%
China 1 <1%
Unknown 199 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 25%
Student > Master 43 21%
Researcher 32 15%
Student > Bachelor 13 6%
Other 8 4%
Other 25 12%
Unknown 35 17%
Readers by discipline Count As %
Computer Science 100 48%
Biochemistry, Genetics and Molecular Biology 12 6%
Engineering 9 4%
Agricultural and Biological Sciences 8 4%
Chemistry 7 3%
Other 32 15%
Unknown 39 19%

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 27 April 2022.
All research outputs
#5,308,683
of 21,294,325 outputs
Outputs from Journal of Cheminformatics
#457
of 774 outputs
Outputs of similar age
#74,766
of 270,832 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 21,294,325 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 774 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 40th percentile – i.e., 40% 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 270,832 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 72% 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