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Recognition of chemical entities: combining dictionary-based and grammar-based approaches

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 (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Recognition of chemical entities: combining dictionary-based and grammar-based approaches
Published in
Journal of Cheminformatics, January 2015
DOI 10.1186/1758-2946-7-s1-s10
Pubmed ID
Authors

Saber A Akhondi, Kristina M Hettne, Eelke van der Horst, Erik M van Mulligen, 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 3 8%
Germany 2 6%
Unknown 31 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Researcher 9 25%
Student > Master 4 11%
Other 3 8%
Librarian 2 6%
Other 5 14%
Unknown 3 8%
Readers by discipline Count As %
Computer Science 12 33%
Agricultural and Biological Sciences 4 11%
Chemistry 3 8%
Environmental Science 2 6%
Medicine and Dentistry 2 6%
Other 5 14%
Unknown 8 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 December 2022.
All research outputs
#7,177,805
of 23,420,064 outputs
Outputs from Journal of Cheminformatics
#590
of 861 outputs
Outputs of similar age
#97,835
of 355,572 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 18 outputs
Altmetric has tracked 23,420,064 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 861 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 30th percentile – i.e., 30% 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 355,572 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 71% 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 gotten more attention than average, scoring higher than 72% of its contemporaries.