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Mendeley readers
| Title |
Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
|
|---|---|
| Published in |
BMC Medical Research Methodology, July 2022
|
| DOI | 10.1186/s12874-022-01660-3 |
| Pubmed ID | |
| Authors |
Anthony Devaux, Robin Genuer, Karine Peres, Cécile Proust-Lima |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 18% |
| Other | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 4 | 24% |
| Medicine and Dentistry | 3 | 18% |
| Unspecified | 1 | 6% |
| Arts and Humanities | 1 | 6% |
| Computer Science | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 35% |