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Acupuncture therapy for drug addiction

Overview of attention for article published in Chinese Medicine, April 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 660)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
8 news outlets
twitter
7 X users
facebook
6 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
126 Mendeley
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Title
Acupuncture therapy for drug addiction
Published in
Chinese Medicine, April 2016
DOI 10.1186/s13020-016-0088-7
Pubmed ID
Authors

Farid Esmaeili Motlagh, Fatimah Ibrahim, Rusdi Abd Rashid, Tahereh Seghatoleslam, Hussain Habil

Abstract

Acupuncture therapy has been used to treat substance abuse. This study aims to review experimental studies examining the effects of acupuncture on addiction. Research and review articles on acupuncture treatment of substance abuse published between January 2000 and September 2014 were searched using the databases ISI Web of Science Core Collection and EBSCO's MEDLINE Complete. Clinical trial studies on the efficacy of acupuncture therapy for substance abuse were classified according to substance (cocaine, opioid, nicotine, and alcohol), and their treatment protocols, assessments, and findings were examined. A total of 119 studies were identified, of which 85 research articles addressed the efficacy of acupuncture for treating addiction. There were substantial variations in study protocols, particularly regarding treatment duration, frequency of electroacupuncture, duration of stimulation, and choice of acupoints. Contradictory results, intergroup differences, variation in sample sizes, and acupuncture placebo effects made it difficult to evaluate acupuncture effectiveness in drug addiction treatment. This review also identified a lack of rigorous study design, such as control of confounding variables by incorporating sham controls, sufficient sample sizes, reliable assessments, and adequately replicated experiments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 21%
Student > Master 15 12%
Student > Doctoral Student 12 10%
Other 10 8%
Researcher 7 6%
Other 19 15%
Unknown 37 29%
Readers by discipline Count As %
Medicine and Dentistry 40 32%
Nursing and Health Professions 16 13%
Psychology 7 6%
Social Sciences 5 4%
Neuroscience 4 3%
Other 13 10%
Unknown 41 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 74. 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 18 October 2022.
All research outputs
#572,911
of 25,371,288 outputs
Outputs from Chinese Medicine
#8
of 660 outputs
Outputs of similar age
#10,497
of 315,549 outputs
Outputs of similar age from Chinese Medicine
#1
of 13 outputs
Altmetric has tracked 25,371,288 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 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 particularly well, scoring higher than 98% 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 315,549 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 96% of its contemporaries.
We're also able to compare this research output to 13 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 92% of its contemporaries.