You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Bayesian joint modelling of longitudinal and time to event data: a methodological review
|
|---|---|
| Published in |
BMC Medical Research Methodology, April 2020
|
| DOI | 10.1186/s12874-020-00976-2 |
| Pubmed ID | |
| Authors |
Maha Alsefri, Maria Sudell, Marta García-Fiñana, Ruwanthi Kolamunnage-Dona |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 25% |
| Researcher | 14 | 17% |
| Student > Master | 7 | 8% |
| Lecturer | 5 | 6% |
| Student > Doctoral Student | 4 | 5% |
| Other | 6 | 7% |
| Unknown | 27 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 15 | 18% |
| Medicine and Dentistry | 10 | 12% |
| Nursing and Health Professions | 7 | 8% |
| Agricultural and Biological Sciences | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 13 | 15% |
| Unknown | 33 | 39% |