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Mendeley readers
| Title |
Exploring supervised and unsupervised methods to detect topics in biomedical text
|
|---|---|
| Published in |
BMC Bioinformatics, March 2006
|
| DOI | 10.1186/1471-2105-7-140 |
| Pubmed ID | |
| Authors |
Minsuk Lee, Weiqing Wang, Hong Yu |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| United Kingdom | 2 | 3% |
| Brazil | 1 | 2% |
| Greece | 1 | 2% |
| Denmark | 1 | 2% |
| Unknown | 57 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 10 | 15% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 6 | 9% |
| Professor | 5 | 8% |
| Other | 15 | 23% |
| Unknown | 10 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 38% |
| Medicine and Dentistry | 7 | 11% |
| Agricultural and Biological Sciences | 6 | 9% |
| Engineering | 4 | 6% |
| Mathematics | 3 | 5% |
| Other | 8 | 12% |
| Unknown | 12 | 18% |