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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 (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
11 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
222 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.

Twitter Demographics

The data shown below were collected from the profiles of 11 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 222 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 219 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 18%
Student > Bachelor 25 11%
Researcher 24 11%
Student > Doctoral Student 20 9%
Student > Postgraduate 19 9%
Other 48 22%
Unknown 45 20%
Readers by discipline Count As %
Medicine and Dentistry 90 41%
Nursing and Health Professions 21 9%
Psychology 10 5%
Social Sciences 9 4%
Agricultural and Biological Sciences 6 3%
Other 27 12%
Unknown 59 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 26 June 2019.
All research outputs
#1,808,044
of 15,329,228 outputs
Outputs from Cochrane database of systematic reviews
#4,489
of 11,167 outputs
Outputs of similar age
#25,289
of 190,058 outputs
Outputs of similar age from Cochrane database of systematic reviews
#89
of 208 outputs
Altmetric has tracked 15,329,228 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.9. This one has gotten more attention than average, scoring higher than 59% 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 190,058 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 86% of its contemporaries.
We're also able to compare this research output to 208 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 57% of its contemporaries.