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Mendeley readers
| Title |
How to measure temporal changes in care pathways for chronic diseases using health care registry data
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2019
|
| DOI | 10.1186/s12911-019-0823-y |
| Pubmed ID | |
| Authors |
Eugenio Ventimiglia, Mieke Van Hemelrijck, Lars Lindhagen, Pär Stattin, Hans Garmo |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 13% |
| Student > Master | 3 | 13% |
| Librarian | 2 | 9% |
| Student > Bachelor | 1 | 4% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 22% |
| Agricultural and Biological Sciences | 2 | 9% |
| Psychology | 2 | 9% |
| Computer Science | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 10 | 43% |