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From POS tagging to dependency parsing for biomedical event extraction

Overview of attention for article published in BMC Bioinformatics, February 2019
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
27 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
69 Mendeley
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Title
From POS tagging to dependency parsing for biomedical event extraction
Published in
BMC Bioinformatics, February 2019
DOI 10.1186/s12859-019-2604-0
Pubmed ID
Authors

Dat Quoc Nguyen, Karin Verspoor

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Master 11 16%
Student > Ph. D. Student 10 14%
Student > Bachelor 4 6%
Unspecified 4 6%
Other 14 20%
Unknown 15 22%
Readers by discipline Count As %
Computer Science 40 58%
Unspecified 4 6%
Linguistics 2 3%
Business, Management and Accounting 1 1%
Mathematics 1 1%
Other 5 7%
Unknown 16 23%
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 25 February 2019.
All research outputs
#2,671,585
of 24,998,746 outputs
Outputs from BMC Bioinformatics
#751
of 7,630 outputs
Outputs of similar age
#63,278
of 458,570 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 180 outputs
Altmetric has tracked 24,998,746 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 7,630 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 90% 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 458,570 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.