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X Demographics
Mendeley readers
Attention Score in Context
Title |
A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools
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Published in |
BMC Bioinformatics, August 2012
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DOI | 10.1186/1471-2105-13-207 |
Pubmed ID | |
Authors |
Karin Verspoor, Kevin Bretonnel Cohen, Arrick Lanfranchi, Colin Warner, Helen L Johnson, Christophe Roeder, Jinho D Choi, Christopher Funk, Yuriy Malenkiy, Miriam Eckert, Nianwen Xue, William A Baumgartner, Michael Bada, Martha Palmer, Lawrence E Hunter |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 67% |
Australia | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 6% |
Spain | 3 | 2% |
Netherlands | 2 | 2% |
France | 2 | 2% |
Australia | 2 | 2% |
Switzerland | 1 | <1% |
Germany | 1 | <1% |
Portugal | 1 | <1% |
Colombia | 1 | <1% |
Other | 1 | <1% |
Unknown | 105 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 27 | 21% |
Student > Ph. D. Student | 24 | 19% |
Professor > Associate Professor | 14 | 11% |
Student > Master | 12 | 9% |
Other | 11 | 9% |
Other | 29 | 23% |
Unknown | 10 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 60 | 47% |
Agricultural and Biological Sciences | 23 | 18% |
Biochemistry, Genetics and Molecular Biology | 6 | 5% |
Medicine and Dentistry | 5 | 4% |
Linguistics | 4 | 3% |
Other | 15 | 12% |
Unknown | 14 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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
#7,192,016
of 25,998,826 outputs
Outputs from BMC Bioinformatics
#2,505
of 7,793 outputs
Outputs of similar age
#52,112
of 191,859 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 99 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 67% 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 191,859 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.