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Cochrane Database of Systematic Reviews

Chinese herbal medicines for hypertriglyceridaemia

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

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters
facebook
2 Facebook pages
f1000
1 research highlight platform

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
106 Mendeley
Title
Chinese herbal medicines for hypertriglyceridaemia
Published in
Cochrane database of systematic reviews, June 2013
DOI 10.1002/14651858.cd009560.pub2
Pubmed ID
Authors

Zhao Lan Liu, George Q Li, Alan Bensoussan, Hosen Kiat, Kelvin Chan, Jian Ping Liu

Abstract

Hypertriglyceridaemia is associated with many diseases including atherosclerosis, diabetes, hypertension and chylomicronaemia. Chinese herbal medicines have been used for a long time as lipid-lowering agents.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 %
Netherlands 1 <1%
Unknown 105 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 16%
Student > Bachelor 14 13%
Researcher 13 12%
Student > Ph. D. Student 8 8%
Student > Doctoral Student 7 7%
Other 24 23%
Unknown 23 22%
Readers by discipline Count As %
Medicine and Dentistry 30 28%
Nursing and Health Professions 17 16%
Economics, Econometrics and Finance 5 5%
Social Sciences 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 18 17%
Unknown 27 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 August 2013.
All research outputs
#3,403,297
of 12,527,219 outputs
Outputs from Cochrane database of systematic reviews
#5,826
of 8,923 outputs
Outputs of similar age
#39,246
of 148,420 outputs
Outputs of similar age from Cochrane database of systematic reviews
#68
of 136 outputs
Altmetric has tracked 12,527,219 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 148,420 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.