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Mendeley readers
| Title |
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2022
|
| DOI | 10.1186/s12911-022-01980-w |
| Pubmed ID | |
| Authors |
Mostafa Shanbehzadeh, Mohammad Reza Afrash, Nader Mirani, Hadi Kazemi-Arpanahi |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 11% |
| Librarian | 1 | 4% |
| Other | 1 | 4% |
| Lecturer | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 16 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 11% |
| Unspecified | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Earth and Planetary Sciences | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 18 | 67% |