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Mendeley readers
Title |
Evaluating the performance of temporal pattern discovery: new application using statins and rhabdomyolysis in OMOP databases
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Published in |
BMC Medical Informatics and Decision Making, February 2022
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DOI | 10.1186/s12911-022-01765-1 |
Pubmed ID | |
Authors |
M. Lavallee, T. Yu, L. Evans, M. Van Hemelrijck, C. Bosco, A. Golozar, A. Asiimwe |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 14% |
Other | 2 | 14% |
Lecturer > Senior Lecturer | 1 | 7% |
Librarian | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Other | 2 | 14% |
Unknown | 5 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 14% |
Medicine and Dentistry | 2 | 14% |
Nursing and Health Professions | 1 | 7% |
Social Sciences | 1 | 7% |
Computer Science | 1 | 7% |
Other | 0 | 0% |
Unknown | 7 | 50% |