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Mendeley readers
| Title |
Correction to: Methods for identifying 30 chronic conditions: application to administrative data
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2019
|
| DOI | 10.1186/s12911-019-0900-2 |
| Pubmed ID | |
| Authors |
Marcello Tonelli, Natasha Wiebe, Martin Fortin, Bruce Guthrie, Brenda R. Hemmelgarn, Matthew T. James, Scott W. Klarenbach, Richard Lewanczuk, Braden J. Manns, Paul Ronksley, Peter Sargious, Sharon Straus, Hude Quan |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 25% |
| Student > Master | 1 | 13% |
| Librarian | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Other | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 25% |
| Computer Science | 1 | 13% |
| Neuroscience | 1 | 13% |
| Economics, Econometrics and Finance | 1 | 13% |
| Unknown | 3 | 38% |