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Mendeley readers
| Title |
Development, validation, and proof-of-concept implementation of a two-year risk prediction model for undiagnosed atrial fibrillation using common electronic health data (UNAFIED)
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2021
|
| DOI | 10.1186/s12911-021-01482-1 |
| Pubmed ID | |
| Authors |
Randall W. Grout, Siu L. Hui, Timothy D. Imler, Sarah El-Azab, Jarod Baker, George H. Sands, Mohammad Ateya, Francis Pike |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 16% |
| Researcher | 4 | 6% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Student > Postgraduate | 3 | 5% |
| Other | 11 | 17% |
| Unknown | 28 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 14% |
| Computer Science | 7 | 11% |
| Engineering | 5 | 8% |
| Nursing and Health Professions | 4 | 6% |
| Unspecified | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 31 | 48% |