↓ Skip to main content

ChemicalTagger: A tool for semantic text-mining in chemistry

Overview of attention for article published in Journal of Cheminformatics, May 2011
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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
4 blogs
twitter
2 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
121 Dimensions

Readers on

mendeley
203 Mendeley
citeulike
18 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
ChemicalTagger: A tool for semantic text-mining in chemistry
Published in
Journal of Cheminformatics, May 2011
DOI 10.1186/1758-2946-3-17
Pubmed ID
Authors

Lezan Hawizy, David M Jessop, Nico Adams, Peter Murray-Rust

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Netherlands 3 1%
United Kingdom 3 1%
Portugal 1 <1%
Germany 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 189 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 26%
Researcher 41 20%
Student > Master 24 12%
Student > Bachelor 15 7%
Other 13 6%
Other 30 15%
Unknown 27 13%
Readers by discipline Count As %
Computer Science 42 21%
Chemistry 32 16%
Agricultural and Biological Sciences 26 13%
Engineering 17 8%
Materials Science 12 6%
Other 40 20%
Unknown 34 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 25 May 2017.
All research outputs
#1,428,013
of 25,079,131 outputs
Outputs from Journal of Cheminformatics
#84
of 942 outputs
Outputs of similar age
#5,625
of 116,070 outputs
Outputs of similar age from Journal of Cheminformatics
#3
of 18 outputs
Altmetric has tracked 25,079,131 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 942 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 91% 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 116,070 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 95% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.