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Mendeley readers
| Title |
Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study
|
|---|---|
| Published in |
BMC Neurology, May 2022
|
| DOI | 10.1186/s12883-022-02722-1 |
| Pubmed ID | |
| Authors |
Wenjuan Wang, Anthony G. Rudd, Yanzhong Wang, Vasa Curcin, Charles D. Wolfe, Niels Peek, Benjamin Bray |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 9 | 69% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 23% |
| Computer Science | 1 | 8% |
| Environmental Science | 1 | 8% |
| Unknown | 8 | 62% |