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Cochrane Database of Systematic Reviews

Chinese herbal medicines for treating osteoporosis

Overview of attention for article published in Cochrane database of systematic reviews, March 2014
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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 (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
9 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
289 Mendeley
Title
Chinese herbal medicines for treating osteoporosis
Published in
Cochrane database of systematic reviews, March 2014
DOI 10.1002/14651858.cd005467.pub2
Pubmed ID
Authors

Yunxia Liu, Jian Ping Liu, Yun Xia

Abstract

Chinese herbal medicines have been used for a long time to treat osteoporosis. The evidence of their benefits and harms needs to be systematically reviewed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
Ireland 1 <1%
Unknown 286 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 14%
Student > Bachelor 31 11%
Researcher 25 9%
Student > Ph. D. Student 22 8%
Student > Doctoral Student 21 7%
Other 68 24%
Unknown 81 28%
Readers by discipline Count As %
Medicine and Dentistry 105 36%
Nursing and Health Professions 22 8%
Unspecified 11 4%
Psychology 10 3%
Social Sciences 8 3%
Other 37 13%
Unknown 96 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 13 February 2024.
All research outputs
#4,145,743
of 25,457,858 outputs
Outputs from Cochrane database of systematic reviews
#6,429
of 11,499 outputs
Outputs of similar age
#38,982
of 236,063 outputs
Outputs of similar age from Cochrane database of systematic reviews
#122
of 222 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,499 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.0. This one is in the 45th percentile – i.e., 45% 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 236,063 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 83% of its contemporaries.
We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.