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Overview of BioCreAtIvE: critical assessment of information extraction for biology

Overview of attention for article published in BMC Bioinformatics, May 2005
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
348 Dimensions

Readers on

mendeley
205 Mendeley
citeulike
16 CiteULike
connotea
6 Connotea
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Title
Overview of BioCreAtIvE: critical assessment of information extraction for biology
Published in
BMC Bioinformatics, May 2005
DOI 10.1186/1471-2105-6-s1-s1
Pubmed ID
Authors

Lynette Hirschman, Alexander Yeh, Christian Blaschke, Alfonso Valencia

Abstract

The goal of the first BioCreAtIvE challenge (Critical Assessment of Information Extraction in Biology) was to provide a set of common evaluation tasks to assess the state of the art for text mining applied to biological problems. The results were presented in a workshop held in Granada, Spain March 28-31, 2004. The articles collected in this BMC Bioinformatics supplement entitled "A critical assessment of text mining methods in molecular biology" describe the BioCreAtIvE tasks, systems, results and their independent evaluation.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 7%
United Kingdom 6 3%
Spain 6 3%
Italy 3 1%
Germany 3 1%
Netherlands 2 <1%
Australia 1 <1%
Sweden 1 <1%
France 1 <1%
Other 8 4%
Unknown 160 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 24%
Researcher 45 22%
Student > Master 26 13%
Professor 15 7%
Other 13 6%
Other 42 20%
Unknown 14 7%
Readers by discipline Count As %
Computer Science 83 40%
Agricultural and Biological Sciences 52 25%
Biochemistry, Genetics and Molecular Biology 12 6%
Engineering 10 5%
Medicine and Dentistry 5 2%
Other 22 11%
Unknown 21 10%

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 26 September 2020.
All research outputs
#2,252,759
of 22,258,349 outputs
Outputs from BMC Bioinformatics
#682
of 7,144 outputs
Outputs of similar age
#25,949
of 295,390 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 368 outputs
Altmetric has tracked 22,258,349 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 7,144 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 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 295,390 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 368 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.