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Mendeley readers
| Title |
Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker
|
|---|---|
| Published in |
BMC Medical Research Methodology, October 2021
|
| DOI | 10.1186/s12874-021-01375-x |
| Pubmed ID | |
| Authors |
Kaci L Pickett, Krithika Suresh, Kristen R Campbell, Scott Davis, Elizabeth Juarez-Colunga |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 13% |
| Student > Doctoral Student | 6 | 10% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Bachelor | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 31 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 23% |
| Agricultural and Biological Sciences | 3 | 5% |
| Engineering | 3 | 5% |
| Environmental Science | 2 | 3% |
| Mathematics | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 30 | 48% |