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Mendeley readers
| Title |
Identifying musculoskeletal conditions in electronic medical records: a prevalence and validation study using the Deliver Primary Healthcare Information (DELPHI) database
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, May 2019
|
| DOI | 10.1186/s12891-019-2568-2 |
| Pubmed ID | |
| Authors |
Bridget L. Ryan, Heather L. Maddocks, Scott McKay, Robert Petrella, Amanda L. Terry, Moira Stewart |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 15% |
| Student > Doctoral Student | 7 | 15% |
| Student > Master | 6 | 13% |
| Researcher | 5 | 11% |
| Other | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 14 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 19% |
| Nursing and Health Professions | 5 | 11% |
| Engineering | 2 | 4% |
| Unspecified | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 20 | 43% |