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Mendeley readers
| Title |
Explainable statistical learning in public health for policy development: the case of real-world suicide data
|
|---|---|
| Published in |
BMC Medical Research Methodology, July 2019
|
| DOI | 10.1186/s12874-019-0796-7 |
| Pubmed ID | |
| Authors |
Paul van Schaik, Yonghong Peng, Adedokun Ojelabi, Jonathan Ling |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 14% |
| Student > Master | 8 | 9% |
| Student > Ph. D. Student | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Other | 5 | 6% |
| Other | 12 | 14% |
| Unknown | 39 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 11 | 13% |
| Psychology | 7 | 8% |
| Medicine and Dentistry | 7 | 8% |
| Computer Science | 6 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 42 | 48% |