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X Demographics
Mendeley readers
| Title |
Effectiveness guidance document (EGD) for Chinese medicine trials: a consensus document
|
|---|---|
| Published in |
Trials, May 2014
|
| DOI | 10.1186/1745-6215-15-169 |
| Pubmed ID | |
| Authors |
Claudia M Witt, Mikel Aickin, Daniel Cherkin, Chun Tao Che, Charles Elder, Andrew Flower, Richard Hammerschlag, Jian-Ping Liu, Lixing Lao, Steve Phurrough, Cheryl Ritenbaugh, Lee Hullender Rubin, Rosa Schnyer, Peter M Wayne, Shelly Rafferty Withers, Bian Zhao-Xiang, Jeanette Young, Brian M Berman, Collaborators |
| Abstract |
There is a need for more Comparative Effectiveness Research (CER) on Chinese medicine (CM) to inform clinical and policy decision-making. This document aims to provide consensus advice for the design of CER trials on CM for researchers. It broadly aims to ensure more adequate design and optimal use of resources in generating evidence for CM to inform stakeholder decision-making. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 2% |
| Unknown | 58 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 15% |
| Student > Master | 7 | 11% |
| Student > Postgraduate | 6 | 10% |
| Student > Ph. D. Student | 6 | 10% |
| Professor | 5 | 8% |
| Other | 13 | 21% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 31% |
| Nursing and Health Professions | 5 | 8% |
| Social Sciences | 4 | 7% |
| Economics, Econometrics and Finance | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 11 | 18% |
| Unknown | 16 | 26% |