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Wide coverage biomedical event extraction using multiple partially overlapping corpora

Overview of attention for article published in BMC Bioinformatics, June 2013
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Title
Wide coverage biomedical event extraction using multiple partially overlapping corpora
Published in
BMC Bioinformatics, June 2013
DOI 10.1186/1471-2105-14-175
Pubmed ID
Authors

Makoto Miwa, Sampo Pyysalo, Tomoko Ohta, Sophia Ananiadou

Abstract

Biomedical events are key to understanding physiological processes and disease, and wide coverage extraction is required for comprehensive automatic analysis of statements describing biomedical systems in the literature. In turn, the training and evaluation of extraction methods requires manually annotated corpora. However, as manual annotation is time-consuming and expensive, any single event-annotated corpus can only cover a limited number of semantic types. Although combined use of several such corpora could potentially allow an extraction system to achieve broad semantic coverage, there has been little research into learning from multiple corpora with partially overlapping semantic annotation scopes.

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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 3%
Switzerland 1 3%
Netherlands 1 3%
France 1 3%
China 1 3%
Spain 1 3%
United States 1 3%
Unknown 32 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 38%
Student > Ph. D. Student 7 18%
Student > Doctoral Student 3 8%
Student > Master 3 8%
Student > Postgraduate 3 8%
Other 4 10%
Unknown 4 10%
Readers by discipline Count As %
Computer Science 22 56%
Agricultural and Biological Sciences 4 10%
Medicine and Dentistry 2 5%
Linguistics 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 5%
Unknown 6 15%
Attention Score in Context

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 14 June 2013.
All research outputs
#17,689,573
of 22,711,645 outputs
Outputs from BMC Bioinformatics
#5,919
of 7,259 outputs
Outputs of similar age
#139,893
of 195,516 outputs
Outputs of similar age from BMC Bioinformatics
#89
of 110 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,259 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.