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Chinese herbal medicines for hypercholesterolemia

Overview of attention for article published in Cochrane database of systematic reviews, July 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

policy
1 policy source
twitter
3 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
150 Mendeley
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Title
Chinese herbal medicines for hypercholesterolemia
Published in
Cochrane database of systematic reviews, July 2011
DOI 10.1002/14651858.cd008305.pub2
Pubmed ID
Authors

Zhao Lan Liu, Jian Ping Liu, Anthony Lin Zhang, Qiong Wu, Yao Ruan, George Lewith, Denise Visconte

Abstract

Hypercholesterolemia is an important key contributory factor for ischemic heart disease and is associated with age, high blood pressure, a family history of hypercholesterolemia, and diabetes. 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 3 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
Germany 2 1%
United Kingdom 1 <1%
Chile 1 <1%
Philippines 1 <1%
Korea, Republic of 1 <1%
Netherlands 1 <1%
Unknown 141 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 18%
Student > Bachelor 25 17%
Researcher 22 15%
Student > Ph. D. Student 19 13%
Student > Doctoral Student 19 13%
Other 38 25%
Readers by discipline Count As %
Medicine and Dentistry 77 51%
Unspecified 25 17%
Nursing and Health Professions 9 6%
Psychology 8 5%
Social Sciences 7 5%
Other 24 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 31 December 2016.
All research outputs
#2,797,911
of 12,527,093 outputs
Outputs from Cochrane database of systematic reviews
#4,840
of 8,923 outputs
Outputs of similar age
#19,823
of 80,039 outputs
Outputs of similar age from Cochrane database of systematic reviews
#12
of 36 outputs
Altmetric has tracked 12,527,093 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 48th percentile – i.e., 48% 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 80,039 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 75% of its contemporaries.
We're also able to compare this research output to 36 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 66% of its contemporaries.