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Mendeley readers
| Title |
Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic data
|
|---|---|
| Published in |
BMC Medical Research Methodology, December 2009
|
| DOI | 10.1186/1471-2288-9-80 |
| Pubmed ID | |
| Authors |
Byron C Wallace, Christopher H Schmid, Joseph Lau, Thomas A Trikalinos |
Mendeley readers
The data shown below were compiled from readership statistics for 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 2% |
| Canada | 4 | 2% |
| Germany | 2 | <1% |
| Netherlands | 2 | <1% |
| India | 1 | <1% |
| Brazil | 1 | <1% |
| Portugal | 1 | <1% |
| Taiwan | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 242 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 48 | 18% |
| Student > Ph. D. Student | 45 | 17% |
| Student > Master | 33 | 13% |
| Professor > Associate Professor | 18 | 7% |
| Student > Postgraduate | 15 | 6% |
| Other | 59 | 23% |
| Unknown | 44 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 90 | 34% |
| Agricultural and Biological Sciences | 20 | 8% |
| Psychology | 18 | 7% |
| Nursing and Health Professions | 8 | 3% |
| Computer Science | 8 | 3% |
| Other | 49 | 19% |
| Unknown | 69 | 26% |