↓ Skip to main content

Acupuncture for shoulder pain

Overview of attention for article published in Cochrane database of systematic reviews, April 2005
Altmetric Badge

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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
11 tweeters
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
182 Dimensions

Readers on

mendeley
185 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Acupuncture for shoulder pain
Published in
Cochrane database of systematic reviews, April 2005
DOI 10.1002/14651858.cd005319
Pubmed ID
Authors

Sally Green, Rachelle Buchbinder, Sarah E Hetrick

Abstract

There are many commonly employed forms of treatment for shoulder disorders. This review of acupuncture is one in a series of reviews of varying interventions for shoulder disorders including adhesive capsulitis (frozen shoulder), rotator cuff disease and osteoarthritis. Acupuncture to treat musculoskeletal pain is being used increasingly to confer an analgesic effect and to date its use in shoulder disorder has not been evaluated in a systematic review.

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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Switzerland 1 <1%
Unknown 181 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 44 24%
Student > Master 33 18%
Student > Postgraduate 17 9%
Researcher 17 9%
Student > Ph. D. Student 12 6%
Other 30 16%
Unknown 32 17%
Readers by discipline Count As %
Medicine and Dentistry 72 39%
Nursing and Health Professions 37 20%
Psychology 8 4%
Agricultural and Biological Sciences 7 4%
Sports and Recreations 4 2%
Other 18 10%
Unknown 39 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 11 December 2019.
All research outputs
#405,458
of 15,248,235 outputs
Outputs from Cochrane database of systematic reviews
#1,024
of 11,164 outputs
Outputs of similar age
#2,556
of 126,797 outputs
Outputs of similar age from Cochrane database of systematic reviews
#5
of 100 outputs
Altmetric has tracked 15,248,235 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,164 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.8. This one has done particularly well, scoring higher than 90% 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 126,797 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 97% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.