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Mendeley readers
| Title |
Automated recognition of malignancy mentions in biomedical literature
|
|---|---|
| Published in |
BMC Bioinformatics, November 2006
|
| DOI | 10.1186/1471-2105-7-492 |
| Pubmed ID | |
| Authors |
Yang Jin, Ryan T McDonald, Kevin Lerman, Mark A Mandel, Steven Carroll, Mark Y Liberman, Fernando C Pereira, Raymond S Winters, Peter S White |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 8% |
| United Kingdom | 2 | 3% |
| France | 1 | 1% |
| Austria | 1 | 1% |
| Colombia | 1 | 1% |
| Mexico | 1 | 1% |
| Portugal | 1 | 1% |
| Spain | 1 | 1% |
| Russia | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 58 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 26% |
| Student > Master | 12 | 16% |
| Student > Ph. D. Student | 8 | 11% |
| Professor > Associate Professor | 7 | 10% |
| Student > Postgraduate | 4 | 5% |
| Other | 14 | 19% |
| Unknown | 9 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 40% |
| Agricultural and Biological Sciences | 11 | 15% |
| Medicine and Dentistry | 8 | 11% |
| Linguistics | 4 | 5% |
| Arts and Humanities | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 11 | 15% |