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X Demographics
Mendeley readers
Attention Score in Context
| 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% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 15 April 2020.
All research outputs
#1,586,944
of 22,659,164 outputs
Outputs from PLOS ONE
#20,583
of 193,435 outputs
Outputs of similar age
#11,507
of 239,890 outputs
Outputs of similar age from PLOS ONE
#211
of 2,750 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,435 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 89% 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 239,890 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 95% of its contemporaries.
We're also able to compare this research output to 2,750 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 92% of its contemporaries.