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Mendeley readers
| Title |
Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts
|
|---|---|
| Published in |
BMC Bioinformatics, November 2006
|
| DOI | 10.1186/1471-2105-7-s3-s4 |
| Pubmed ID | |
| Authors |
Hong-Woo Chun, Yoshimasa Tsuruoka, Jin-Dong Kim, Rie Shiba, Naoki Nagata, Teruyoshi Hishiki, Jun'ichi Tsujii |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| China | 1 | 2% |
| Unknown | 47 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Researcher | 9 | 17% |
| Student > Bachelor | 6 | 12% |
| Professor > Associate Professor | 5 | 10% |
| Student > Master | 5 | 10% |
| Other | 12 | 23% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 35% |
| Medicine and Dentistry | 14 | 27% |
| Agricultural and Biological Sciences | 7 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 7 | 13% |