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Mendeley readers
| Title |
Dynamic prediction of outcome for patients with severe aortic stenosis: application of joint models for longitudinal and time-to-event data
|
|---|---|
| Published in |
BMC Cardiovascular Disorders, May 2015
|
| DOI | 10.1186/s12872-015-0035-z |
| Pubmed ID | |
| Authors |
Eleni-Rosalina Andrinopoulou, Dimitris Rizopoulos, Marcel L. Geleijnse, Emmanuel Lesaffre, Ad J. J. C. Bogers, Johanna J. M. Takkenberg |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 30% |
| Researcher | 8 | 17% |
| Student > Postgraduate | 3 | 6% |
| Student > Master | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 11 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 26% |
| Mathematics | 10 | 21% |
| Computer Science | 4 | 9% |
| Business, Management and Accounting | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 15 | 32% |