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Mendeley readers
| Title |
Current challenges in adopting machine learning to critical care and emergency medicine
|
|---|---|
| Published in |
Clinical and Experimental Emergency Medicine, May 2023
|
| DOI | 10.15441/ceem.23.041 |
| Pubmed ID | |
| Authors |
Cyra-Yoonsun Kang, Joo Heung Yoon |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Professor | 1 | 11% |
| Researcher | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Sports and Recreations | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Design | 1 | 11% |
| Unknown | 5 | 56% |