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Point specificity in acupuncture

Overview of attention for article published in Chinese Medicine, February 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
3 X users
facebook
4 Facebook pages
reddit
1 Redditor

Citations

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74 Dimensions

Readers on

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100 Mendeley
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Title
Point specificity in acupuncture
Published in
Chinese Medicine, February 2012
DOI 10.1186/1749-8546-7-4
Pubmed ID
Authors

Emma M Choi, Fang Jiang, John C Longhurst

Abstract

The existence of point specificity in acupuncture is controversial, because many acupuncture studies using this principle to select control points have found that sham acupoints have similar effects to those of verum acupoints. Furthermore, the results of pain-related studies based on visual analogue scales have not supported the concept of point specificity. In contrast, hemodynamic, functional magnetic resonance imaging and neurophysiological studies evaluating the responses to stimulation of multiple points on the body surface have shown that point-specific actions are present. This review article focuses on clinical and laboratory studies supporting the existence of point specificity in acupuncture and also addresses studies that do not support this concept. Further research is needed to elucidate the point-specific actions of acupuncture.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Portugal 1 1%
Norway 1 1%
United Kingdom 1 1%
Brazil 1 1%
Spain 1 1%
New Zealand 1 1%
Unknown 92 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 21%
Student > Bachelor 18 18%
Researcher 14 14%
Other 8 8%
Student > Postgraduate 6 6%
Other 19 19%
Unknown 14 14%
Readers by discipline Count As %
Medicine and Dentistry 46 46%
Nursing and Health Professions 12 12%
Agricultural and Biological Sciences 5 5%
Neuroscience 3 3%
Computer Science 2 2%
Other 13 13%
Unknown 19 19%
Attention Score in Context

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 15 October 2014.
All research outputs
#7,778,071
of 25,373,627 outputs
Outputs from Chinese Medicine
#148
of 660 outputs
Outputs of similar age
#49,800
of 168,037 outputs
Outputs of similar age from Chinese Medicine
#2
of 10 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 77% 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 168,037 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 69% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.