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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
12 tweeters
facebook
5 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
172 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 12 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 172 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 170 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 17%
Student > Bachelor 22 13%
Other 19 11%
Researcher 18 10%
Student > Ph. D. Student 15 9%
Other 39 23%
Unknown 29 17%
Readers by discipline Count As %
Medicine and Dentistry 68 40%
Nursing and Health Professions 25 15%
Pharmacology, Toxicology and Pharmaceutical Science 9 5%
Psychology 7 4%
Social Sciences 4 2%
Other 24 14%
Unknown 35 20%

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
#2,308,466
of 22,510,821 outputs
Outputs from Cochrane database of systematic reviews
#4,898
of 12,268 outputs
Outputs of similar age
#18,314
of 176,120 outputs
Outputs of similar age from Cochrane database of systematic reviews
#32
of 101 outputs
Altmetric has tracked 22,510,821 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,268 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.1. This one has gotten more attention than average, scoring higher than 60% 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 176,120 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 89% of its contemporaries.
We're also able to compare this research output to 101 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 68% of its contemporaries.