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Mendeley readers
| Title |
Predicting gender differences as latent variables: summed scores, and individual item responses: a methods case study
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, October 2004
|
| DOI | 10.1186/1477-7525-2-59 |
| Pubmed ID | |
| Authors |
Ricardo Pietrobon, Marcus Taylor, Ulrich Guller, Laurence D Higgins, Danny O Jacobs, Timothy Carey |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Ukraine | 1 | 4% |
| Nigeria | 1 | 4% |
| Unknown | 25 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Researcher | 4 | 14% |
| Other | 3 | 11% |
| Student > Doctoral Student | 3 | 11% |
| Professor | 3 | 11% |
| Other | 7 | 25% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 18% |
| Medicine and Dentistry | 5 | 18% |
| Social Sciences | 4 | 14% |
| Business, Management and Accounting | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Other | 5 | 18% |
| Unknown | 3 | 11% |