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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 (76th percentile)

Mentioned by

twitter
14 tweeters
facebook
5 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
130 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 14 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 130 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 128 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 18%
Student > Bachelor 19 15%
Other 17 13%
Researcher 16 12%
Student > Ph. D. Student 12 9%
Other 24 18%
Unknown 19 15%
Readers by discipline Count As %
Medicine and Dentistry 54 42%
Nursing and Health Professions 18 14%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Social Sciences 5 4%
Psychology 4 3%
Other 16 12%
Unknown 26 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 20 March 2020.
All research outputs
#1,454,431
of 15,405,287 outputs
Outputs from Cochrane database of systematic reviews
#3,863
of 11,183 outputs
Outputs of similar age
#16,151
of 157,114 outputs
Outputs of similar age from Cochrane database of systematic reviews
#26
of 113 outputs
Altmetric has tracked 15,405,287 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,183 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.1. This one has gotten more attention than average, scoring higher than 65% 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 157,114 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 113 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.