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Mendeley readers
| Title |
Assessing subgroup effects with binary data: can the use of different effect measures lead to different conclusions?
|
|---|---|
| Published in |
BMC Medical Research Methodology, April 2005
|
| DOI | 10.1186/1471-2288-5-15 |
| Pubmed ID | |
| Authors |
Ian R White, Diana Elbourne |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Unknown | 31 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 31% |
| Student > Ph. D. Student | 4 | 13% |
| Professor > Associate Professor | 4 | 13% |
| Professor | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 41% |
| Mathematics | 2 | 6% |
| Economics, Econometrics and Finance | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 11 | 34% |