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Mendeley readers
Title |
Exploring effective core drug patterns in primary insomnia treatment with Chinese herbal medicine: study protocol for a randomized controlled trial
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Published in |
Trials, February 2013
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DOI | 10.1186/1745-6215-14-61 |
Pubmed ID | |
Authors |
Shiyan Yan, Runshun Zhang, Xuezhong Zhou, Peng Li, Liyun He, Baoyan Liu |
Abstract |
Chinese herbal medicine is one of the most popular Chinese medicine (CM) therapies for primary insomnia. One of the important characteristics of CM is that different Chinese clinicians give different prescriptions even for the same patient. However, there must be some fixed drug patterns in every clinician's prescriptions. This study aims to screen the effective core drug patterns in primary insomnia treatment of three prestigious Chinese clinicians. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Egypt | 1 | 25% |
United Kingdom | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 2% |
Unknown | 54 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 11 | 20% |
Student > Ph. D. Student | 7 | 13% |
Researcher | 5 | 9% |
Other | 3 | 5% |
Student > Master | 3 | 5% |
Other | 10 | 18% |
Unknown | 16 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 22% |
Nursing and Health Professions | 9 | 16% |
Social Sciences | 3 | 5% |
Psychology | 3 | 5% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Other | 9 | 16% |
Unknown | 17 | 31% |