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Mendeley readers
| Title |
Measuring the ICF components of impairment, activity limitation and participation restriction: an item analysis using classical test theory and item response theory
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, May 2009
|
| DOI | 10.1186/1477-7525-7-41 |
| Pubmed ID | |
| Authors |
Beth Pollard, Diane Dixon, Paul Dieppe, Marie Johnston |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Australia | 2 | 1% |
| Portugal | 1 | <1% |
| Italy | 1 | <1% |
| Ireland | 1 | <1% |
| Switzerland | 1 | <1% |
| Canada | 1 | <1% |
| Nigeria | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 125 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 19% |
| Researcher | 21 | 15% |
| Student > Master | 18 | 13% |
| Professor > Associate Professor | 16 | 12% |
| Student > Bachelor | 10 | 7% |
| Other | 25 | 18% |
| Unknown | 21 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 32% |
| Psychology | 20 | 15% |
| Social Sciences | 14 | 10% |
| Nursing and Health Professions | 13 | 9% |
| Computer Science | 3 | 2% |
| Other | 14 | 10% |
| Unknown | 29 | 21% |