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Mendeley readers
| Title |
Detecting the priority areas for health workforce allocation with LISA functions: an empirical analysis for China
|
|---|---|
| Published in |
BMC Health Services Research, December 2018
|
| DOI | 10.1186/s12913-018-3737-y |
| Pubmed ID | |
| Authors |
Bin Zhu, Yang Fu, Jinlin Liu, Rongxin He, Ning Zhang, Ying Mao |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 24% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Bachelor | 4 | 7% |
| Researcher | 3 | 5% |
| Student > Doctoral Student | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 22 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 12 | 22% |
| Medicine and Dentistry | 8 | 15% |
| Social Sciences | 5 | 9% |
| Environmental Science | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 19 | 35% |