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Mendeley readers
| Title |
Artificial Intelligence Applications in Type 2 Diabetes Mellitus Care: Focus on Machine Learning Methods
|
|---|---|
| Published in |
Healthcare Informatics Research, October 2019
|
| DOI | 10.4258/hir.2019.25.4.248 |
| Pubmed ID | |
| Authors |
Shahabeddin Abhari, Sharareh R. Niakan Kalhori, Mehdi Ebrahimi, Hajar Hasannejadasl, Ali Garavand |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 188 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 9% |
| Student > Ph. D. Student | 16 | 9% |
| Student > Bachelor | 16 | 9% |
| Researcher | 14 | 7% |
| Other | 12 | 6% |
| Other | 31 | 16% |
| Unknown | 82 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 17% |
| Medicine and Dentistry | 22 | 12% |
| Engineering | 15 | 8% |
| Biochemistry, Genetics and Molecular Biology | 7 | 4% |
| Nursing and Health Professions | 5 | 3% |
| Other | 21 | 11% |
| Unknown | 86 | 46% |