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Mendeley readers
Title |
Predicting the risk of a clinical event using longitudinal data: the generalized landmark analysis
|
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Published in |
BMC Medical Research Methodology, January 2023
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DOI | 10.1186/s12874-022-01828-x |
Pubmed ID | |
Authors |
Yi Yao, Liang Li, Brad Astor, Wei Yang, Tom Greene |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 17% |
Student > Postgraduate | 1 | 17% |
Other | 1 | 17% |
Student > Master | 1 | 17% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 33% |
Biochemistry, Genetics and Molecular Biology | 1 | 17% |
Unknown | 3 | 50% |