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Mendeley readers
| Title |
An ontological approach to identifying cases of chronic kidney disease from routine primary care data: a cross-sectional study
|
|---|---|
| Published in |
BMC Nephrology, April 2018
|
| DOI | 10.1186/s12882-018-0882-9 |
| Pubmed ID | |
| Authors |
Nicholas I. Cole, Harshana Liyanage, Rebecca J. Suckling, Pauline A. Swift, Hugh Gallagher, Rachel Byford, John Williams, Shankar Kumar, Simon de Lusignan |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 14% |
| Student > Bachelor | 4 | 14% |
| Student > Doctoral Student | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Master | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 31% |
| Nursing and Health Professions | 3 | 10% |
| Psychology | 2 | 7% |
| Computer Science | 2 | 7% |
| Unspecified | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 10 | 34% |