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Application of Acupoints and Meridians for the Treatment of Primary Dysmenorrhea: A Data Mining-Based Literature Study

Overview of attention for article published in Evidence-based Complementary & Alternative Medicine (eCAM), February 2015
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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6 X users
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3 Facebook pages
googleplus
2 Google+ users

Citations

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43 Dimensions

Readers on

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100 Mendeley
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Title
Application of Acupoints and Meridians for the Treatment of Primary Dysmenorrhea: A Data Mining-Based Literature Study
Published in
Evidence-based Complementary & Alternative Medicine (eCAM), February 2015
DOI 10.1155/2015/752194
Pubmed ID
Authors

Siyi Yu, Jie Yang, Mingxiao Yang, Yan Gao, Jiao Chen, Yulan Ren, Leixiao Zhang, Liang Chen, Fanrong Liang, Youping Hu

Abstract

Background. Dysmenorrhea is a common problem for which acupuncture provides effective analgesia. Although acupoint selection affects the effectiveness of acupuncture, the basic rules of acupoint selection are little understood. This study aims to investigate the principles of acupoint selection and characteristics of acupoints used for primary dysmenorrhea. Methods. PubMed, China National Knowledge Infrastructure, and Chinese Biomedical Database were searched for clinical trials published in English or Chinese from January 1978 to April 2014 evaluating the effect of acupuncture on primary dysmenorrhea, with or without methods of randomization and/or control. Three authors extracted information and two reviewers inputted information on titles, journals, interventions, main acupoints, and outcomes using the self-established Data Excavation Platform of Acupoint Specificity for data mining. Results. Sanyinjiao (SP06), Guanyuan (CV04), and Qihai (CV06) were used most frequently. The most frequently used meridians were Conception Vessel, Spleen Meridian of Foot Taiyin, and Bladder Meridian of Foot Taiyang. 67.24% of acupoints used were specific acupoints. Acupoints on lower limbs were most frequently used. Conclusion. Data mining is a feasible approach to identify the characteristics of acupoint selection. Our study indicated that modern acupuncture treatment for primary dysmenorrhea is based on selection of specific acupoints according to traditional acupuncture theory.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 29 29%
Student > Ph. D. Student 9 9%
Student > Doctoral Student 7 7%
Researcher 6 6%
Student > Postgraduate 5 5%
Other 15 15%
Unknown 29 29%
Readers by discipline Count As %
Medicine and Dentistry 27 27%
Nursing and Health Professions 25 25%
Agricultural and Biological Sciences 5 5%
Social Sciences 4 4%
Psychology 3 3%
Other 7 7%
Unknown 29 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 09 April 2015.
All research outputs
#4,711,217
of 25,394,764 outputs
Outputs from Evidence-based Complementary & Alternative Medicine (eCAM)
#1,400
of 9,352 outputs
Outputs of similar age
#53,374
of 270,053 outputs
Outputs of similar age from Evidence-based Complementary & Alternative Medicine (eCAM)
#34
of 194 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,352 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 84% 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 270,053 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 80% of its contemporaries.
We're also able to compare this research output to 194 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.