You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Normalizing biomedical terms by minimizing ambiguity and variability
|
|---|---|
| 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 59 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 | 48 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 27% |
| Researcher | 12 | 20% |
| Professor > Associate Professor | 7 | 12% |
| Student > Master | 5 | 8% |
| Professor | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 39% |
| Agricultural and Biological Sciences | 12 | 20% |
| Medicine and Dentistry | 4 | 7% |
| Linguistics | 2 | 3% |
| Unspecified | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 15 | 25% |