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Mendeley readers
Title |
Assessing subgroup effects with binary data: can the use of different effect measures lead to different conclusions?
|
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Published in |
BMC Medical Research Methodology, April 2005
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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% |