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Mendeley readers
Title |
Normalizing biomedical terms by minimizing ambiguity and variability
|
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Published in |
BMC Bioinformatics, April 2008
|
DOI | 10.1186/1471-2105-9-s3-s2 |
Pubmed ID | |
Authors |
Yoshimasa Tsuruoka, John McNaught, Sophia Ananiadou |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 7% |
United Kingdom | 3 | 5% |
Netherlands | 1 | 2% |
France | 1 | 2% |
Spain | 1 | 2% |
Ukraine | 1 | 2% |
Unknown | 47 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 28% |
Researcher | 12 | 21% |
Professor > Associate Professor | 7 | 12% |
Student > Master | 5 | 9% |
Professor | 3 | 5% |
Other | 4 | 7% |
Unknown | 11 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 40% |
Agricultural and Biological Sciences | 12 | 21% |
Medicine and Dentistry | 4 | 7% |
Linguistics | 2 | 3% |
Mathematics | 1 | 2% |
Other | 1 | 2% |
Unknown | 15 | 26% |