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Chinese herbal medicine for diabetic peripheral neuropathy

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

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
45 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
106 Mendeley
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Title
Chinese herbal medicine for diabetic peripheral neuropathy
Published in
Cochrane database of systematic reviews, October 2013
DOI 10.1002/14651858.cd007796.pub3
Pubmed ID
Authors

Wei Chen, Yin Zhang, Xinxue Li, Guoyan Yang, Jian Ping Liu

Abstract

Chinese herbal medicine is frequently used for treating diabetic peripheral neuropathy in China. Many controlled trials have been undertaken to investigate its efficacy.This is an update of a Cochrane review that was first published in the year 2011.

Twitter Demographics

The data shown below were collected from the profiles of 45 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 15%
Student > Master 14 13%
Student > Bachelor 14 13%
Student > Doctoral Student 12 11%
Student > Postgraduate 11 10%
Other 39 37%
Readers by discipline Count As %
Medicine and Dentistry 49 46%
Unspecified 18 17%
Nursing and Health Professions 9 8%
Agricultural and Biological Sciences 8 8%
Biochemistry, Genetics and Molecular Biology 5 5%
Other 17 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 25 March 2014.
All research outputs
#558,079
of 13,605,123 outputs
Outputs from Cochrane database of systematic reviews
#1,718
of 10,676 outputs
Outputs of similar age
#8,082
of 165,986 outputs
Outputs of similar age from Cochrane database of systematic reviews
#17
of 110 outputs
Altmetric has tracked 13,605,123 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,676 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one has done well, scoring higher than 83% 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 165,986 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 110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.