| Title |
Chinese Herbal Medicines for the Treatment of Type A H1N1 Influenza: A Systematic Review of Randomized Controlled Trials
|
|---|---|
| Published in |
PLOS ONE, December 2011
|
| DOI | 10.1371/journal.pone.0028093 |
| Pubmed ID | |
| Authors |
Wei Chen, Chi Eung Danforn Lim, Hong-Jun Kang, Jianping Liu |
| Abstract |
Chinese herbs are thought to be effective for type A H1N1 influenza. Series of Chinese herbs have been authorized recommended by the Chinese government, and until now a number of clinical trials of Chinese herbs for H1N1 influenza have been conducted. However, there is no critically appraised evidence such as systematic reviews or meta-analyses on potential benefits and harms of medicinal herbs for H1N1 influenza to justify their clinical use and their recommendation. |
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% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 17% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 9 | 12% |
| Student > Ph. D. Student | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Other | 19 | 25% |
| Unknown | 14 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 31% |
| Nursing and Health Professions | 6 | 8% |
| Agricultural and Biological Sciences | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Computer Science | 4 | 5% |
| Other | 15 | 20% |
| Unknown | 17 | 23% |