| Title |
Calibration Belt for Quality-of-Care Assessment Based on Dichotomous Outcomes
|
|---|---|
| Published in |
PLOS ONE, February 2011
|
| DOI | 10.1371/journal.pone.0016110 |
| Pubmed ID | |
| Authors |
Stefano Finazzi, Daniele Poole, Davide Luciani, Paola E. Cogo, Guido Bertolini |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 3% |
| Colombia | 1 | 1% |
| Unknown | 67 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 20% |
| Student > Ph. D. Student | 12 | 17% |
| Student > Master | 8 | 11% |
| Professor | 5 | 7% |
| Student > Bachelor | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 37% |
| Nursing and Health Professions | 5 | 7% |
| Environmental Science | 3 | 4% |
| Engineering | 3 | 4% |
| Computer Science | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 22 | 31% |