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Cascaded classifiers for confidence-based chemical named entity recognition

Overview of attention for article published in BMC Bioinformatics, November 2008
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
6 CiteULike
connotea
2 Connotea
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Title
Cascaded classifiers for confidence-based chemical named entity recognition
Published in
BMC Bioinformatics, November 2008
DOI 10.1186/1471-2105-9-s11-s4
Pubmed ID
Authors

Peter Corbett, Ann Copestake

Abstract

Chemical named entities represent an important facet of biomedical text.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Portugal 1 2%
Netherlands 1 2%
Russia 1 2%
Spain 1 2%
United States 1 2%
Poland 1 2%
Unknown 41 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 31%
Student > Ph. D. Student 12 24%
Student > Master 8 16%
Other 4 8%
Student > Bachelor 2 4%
Other 7 14%
Unknown 1 2%
Readers by discipline Count As %
Computer Science 22 45%
Agricultural and Biological Sciences 6 12%
Chemistry 5 10%
Linguistics 3 6%
Social Sciences 2 4%
Other 9 18%
Unknown 2 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 November 2015.
All research outputs
#7,434,249
of 22,727,570 outputs
Outputs from BMC Bioinformatics
#3,026
of 7,262 outputs
Outputs of similar age
#47,946
of 165,897 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 44 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 165,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.