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Mendeley readers
| Title |
Predicting high health-cost users among people with cardiovascular disease using machine learning and nationwide linked social administrative datasets
|
|---|---|
| Published in |
Health Economics Review, February 2023
|
| DOI | 10.1186/s13561-023-00422-1 |
| Pubmed ID | |
| Authors |
Nhung Nghiem, June Atkinson, Binh P. Nguyen, An Tran-Duy, Nick Wilson |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 10% |
| Librarian | 1 | 5% |
| Student > Master | 1 | 5% |
| Researcher | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 14 | 70% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Unknown | 17 | 85% |