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Mendeley readers
| Title |
Using clinical variables and drug prescription data to control for confounding in outcome comparisons between hospitals
|
|---|---|
| Published in |
BMC Health Services Research, October 2014
|
| DOI | 10.1186/s12913-014-0495-3 |
| Pubmed ID | |
| Authors |
Paola Colais, Mirko Di Martino, Danilo Fusco, Marina Davoli, Paul Aylin, Carlo Alberto Perucci |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Researcher | 6 | 16% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 2 | 5% |
| Other | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 10 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 39% |
| Business, Management and Accounting | 2 | 5% |
| Economics, Econometrics and Finance | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 12 | 32% |