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Mendeley readers
| Title |
Comparison of Predictive Models for the Early Diagnosis of Diabetes
|
|---|---|
| Published in |
Healthcare Informatics Research, April 2016
|
| DOI | 10.4258/hir.2016.22.2.95 |
| Pubmed ID | |
| Authors |
Meysam Jahani, Mahdi Mahdavi |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 22% |
| Student > Master | 6 | 13% |
| Researcher | 5 | 11% |
| Student > Bachelor | 3 | 7% |
| Other | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 16% |
| Computer Science | 7 | 16% |
| Medicine and Dentistry | 6 | 13% |
| Agricultural and Biological Sciences | 3 | 7% |
| Physics and Astronomy | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 15 | 33% |