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Mendeley readers
| Title |
Predicting Japanese Kampo formulas by analyzing database of medical records: a preliminary observational study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2016
|
| DOI | 10.1186/s12911-016-0361-9 |
| Pubmed ID | |
| Authors |
Tetsuhiro Yoshino, Kotoe Katayama, Yuko Horiba, Kaori Munakata, Rui Yamaguchi, Seiya Imoto, Satoru Miyano, Hideki Mima, Kenji Watanabe |
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 % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Researcher | 4 | 15% |
| Student > Doctoral Student | 2 | 8% |
| Student > Master | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 19% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Psychology | 2 | 8% |
| Nursing and Health Professions | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 11 | 42% |