↓ Skip to main content

Exploring effective core drug patterns in primary insomnia treatment with Chinese herbal medicine: study protocol for a randomized controlled trial

Overview of attention for article published in Trials, February 2013
Altmetric Badge

Mentioned by

twitter
4 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
55 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Exploring effective core drug patterns in primary insomnia treatment with Chinese herbal medicine: study protocol for a randomized controlled trial
Published in
Trials, February 2013
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

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.
Mendeley readers

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%