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Mendeley readers
| Title |
Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study
|
|---|---|
| Published in |
BMC Public Health, June 2018
|
| DOI | 10.1186/s12889-018-5611-6 |
| Pubmed ID | |
| Authors |
Neda Zafari, Mojtaba Lotfaliany, Mohammad Ali Mansournia, Davood Khalili, Fereidoun Azizi, Farzad Hadaegh |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 15% |
| Researcher | 5 | 11% |
| Other | 5 | 11% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Master | 3 | 6% |
| Other | 10 | 21% |
| Unknown | 13 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 30% |
| Nursing and Health Professions | 6 | 13% |
| Social Sciences | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 18 | 38% |