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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Chinese medicinal herbs for influenza
|
|---|---|
| Published in |
Cochrane database of systematic reviews, March 2013
|
| DOI | 10.1002/14651858.cd004559.pub4 |
| Pubmed ID | |
| Authors |
Lanhui Jiang, Linyu Deng, Taixiang Wu |
| Abstract |
Influenza is a communicable acute respiratory infection which, during epidemics, can cause high morbidity and mortality rates. Traditional Chinese medicinal herbs, often administered following a particular Chinese medical theory, may be a potential treatment of choice. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 8% |
| United States | 1 | 8% |
| Canada | 1 | 8% |
| Spain | 1 | 8% |
| Unknown | 8 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 197 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 32 | 16% |
| Student > Bachelor | 26 | 13% |
| Other | 21 | 11% |
| Researcher | 19 | 10% |
| Student > Ph. D. Student | 16 | 8% |
| Other | 39 | 20% |
| Unknown | 46 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 73 | 37% |
| Nursing and Health Professions | 27 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 4% |
| Psychology | 7 | 4% |
| Computer Science | 4 | 2% |
| Other | 26 | 13% |
| Unknown | 54 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 07 April 2022.
All research outputs
#2,848,257
of 25,513,063 outputs
Outputs from Cochrane database of systematic reviews
#5,610
of 13,145 outputs
Outputs of similar age
#23,196
of 210,600 outputs
Outputs of similar age from Cochrane database of systematic reviews
#89
of 214 outputs
Altmetric has tracked 25,513,063 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,145 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.7. This one has gotten more attention than average, scoring higher than 57% 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 210,600 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 214 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.