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Mendeley readers
| Title |
Calculating semantic relatedness for biomedical use in a knowledge-poor environment
|
|---|---|
| Published in |
BMC Bioinformatics, November 2014
|
| DOI | 10.1186/1471-2105-15-s14-s2 |
| Pubmed ID | |
| Authors |
Maciej Rybinski, José Francisco Aldana-Montes |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 19% |
| Researcher | 4 | 15% |
| Student > Bachelor | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 42% |
| Agricultural and Biological Sciences | 3 | 12% |
| Nursing and Health Professions | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 35% |