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Mendeley readers
| Title |
Accuracy of a Novel Non-Invasive technology based EZSCAN system for the diagnosis of diabetes mellitus in Chinese
|
|---|---|
| Published in |
Diabetology & Metabolic Syndrome, December 2011
|
| DOI | 10.1186/1758-5996-3-36 |
| Pubmed ID | |
| Authors |
Chang-Sheng Sheng, Wei-Fang Zeng, Qi-Fang Huang, Jean-Paul Deslypere, Yan Li, Ji-Guang Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 17% |
| Researcher | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Lecturer | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 42% |
| Computer Science | 2 | 17% |
| Nursing and Health Professions | 1 | 8% |
| Design | 1 | 8% |
| Unknown | 3 | 25% |