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Automatic vs. manual curation of a multi-source chemical dictionary: the impact on text mining

Overview of attention for article published in Journal of Cheminformatics, March 2010
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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 (90th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
wikipedia
8 Wikipedia pages

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
137 Mendeley
citeulike
11 CiteULike
connotea
1 Connotea
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Title
Automatic vs. manual curation of a multi-source chemical dictionary: the impact on text mining
Published in
Journal of Cheminformatics, March 2010
DOI 10.1186/1758-2946-2-3
Pubmed ID
Authors

Kristina M Hettne, Antony J Williams, Erik M van Mulligen, Jos Kleinjans, Valery Tkachenko, Jan A Kors

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 3%
United Kingdom 3 2%
United States 3 2%
Netherlands 2 1%
Sweden 1 <1%
India 1 <1%
Australia 1 <1%
Russia 1 <1%
Portugal 1 <1%
Other 2 1%
Unknown 118 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 20%
Student > Master 22 16%
Student > Ph. D. Student 21 15%
Professor > Associate Professor 12 9%
Other 10 7%
Other 22 16%
Unknown 22 16%
Readers by discipline Count As %
Chemistry 29 21%
Agricultural and Biological Sciences 22 16%
Computer Science 20 15%
Pharmacology, Toxicology and Pharmaceutical Science 10 7%
Engineering 7 5%
Other 20 15%
Unknown 29 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 15 November 2022.
All research outputs
#2,473,338
of 23,114,117 outputs
Outputs from Journal of Cheminformatics
#246
of 849 outputs
Outputs of similar age
#9,429
of 95,401 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 4 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 849 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 71% 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 95,401 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 90% of its contemporaries.
We're also able to compare this research output to 4 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