Title |
Chinese medicinal herbs for the common cold
|
---|---|
Published in |
Cochrane database of systematic reviews, January 2007
|
DOI | 10.1002/14651858.cd004782.pub2 |
Pubmed ID | |
Authors |
Xiaoge Zhang, Taixiang Wu, Jing Zhang, Qiu Yan, Lingxia Xie, Guan J Liu |
Abstract |
Chinese herbal medicines are frequently used to treat the common cold in China. Until now, their efficacy has not been systematically reviewed. |
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 % |
---|---|---|
Japan | 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | <1% |
South Africa | 1 | <1% |
Unknown | 125 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 17 | 13% |
Student > Bachelor | 17 | 13% |
Researcher | 13 | 10% |
Other | 11 | 9% |
Student > Ph. D. Student | 10 | 8% |
Other | 24 | 19% |
Unknown | 35 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 57 | 45% |
Nursing and Health Professions | 16 | 13% |
Agricultural and Biological Sciences | 4 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
Computer Science | 2 | 2% |
Other | 9 | 7% |
Unknown | 36 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 September 2022.
All research outputs
#915,890
of 24,561,012 outputs
Outputs from Cochrane database of systematic reviews
#1,879
of 12,933 outputs
Outputs of similar age
#2,259
of 171,674 outputs
Outputs of similar age from Cochrane database of systematic reviews
#4
of 69 outputs
Altmetric has tracked 24,561,012 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,933 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.8. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 171,674 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.