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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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Mentioned by

twitter
1 tweeter

Citations

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21 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
Authors

Saber A Akhondi, Kristina M Hettne, Eelke van der Horst, Erik M van Mulligen, Jan A Kors

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 6 17%
Unknown 2 6%
Readers by discipline Count As %
Computer Science 12 33%
Chemistry 4 11%
Agricultural and Biological Sciences 4 11%
Environmental Science 2 6%
Medicine and Dentistry 2 6%
Other 5 14%
Unknown 7 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 February 2015.
All research outputs
#12,287,819
of 15,466,176 outputs
Outputs from Journal of Cheminformatics
#581
of 613 outputs
Outputs of similar age
#197,372
of 288,003 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 15,466,176 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 613 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 1st percentile – i.e., 1% 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 288,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
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