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Chinese medicinal herbs for influenza

Overview of attention for article published in Cochrane database of systematic reviews, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
15 tweeters
facebook
5 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
125 Mendeley
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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.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 125 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 123 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 19%
Student > Bachelor 19 15%
Other 15 12%
Researcher 13 10%
Student > Ph. D. Student 11 9%
Other 26 21%
Unknown 17 14%
Readers by discipline Count As %
Medicine and Dentistry 55 44%
Nursing and Health Professions 17 14%
Pharmacology, Toxicology and Pharmaceutical Science 8 6%
Psychology 4 3%
Social Sciences 4 3%
Other 14 11%
Unknown 23 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 20 March 2020.
All research outputs
#1,338,855
of 15,283,645 outputs
Outputs from Cochrane database of systematic reviews
#3,635
of 11,168 outputs
Outputs of similar age
#15,011
of 156,929 outputs
Outputs of similar age from Cochrane database of systematic reviews
#25
of 114 outputs
Altmetric has tracked 15,283,645 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.9. This one has gotten more attention than average, scoring higher than 67% 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 156,929 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 90% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.