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Substance and Non-substance Addiction

Overview of attention for book
Attention for Chapter 13: Traditional Chinese Medicine (TCM) Therapy
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Chapter title
Traditional Chinese Medicine (TCM) Therapy
Chapter number 13
Book title
Substance and Non-substance Addiction
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-981-10-5562-1_13
Pubmed ID
Book ISBNs
978-9-81-105561-4, 978-9-81-105562-1
Authors

Li-Jun Xiao, Ran Tao, Xiao, Li-Jun, Tao, Ran

Abstract

Traditional Chinese Medicine(TCM) has been utilized in China for more than 2,000 years, and it has been practiced in treatment of substance addiction and non-substance addictions. TCM have efficacy in the rehabilitation of abnormal physical problems induced by chronic drug use, including improving immune function, increasing working memory, and protecting against neurological disorders. Given that TCM is potentially effective in the prevention of relapse, it has been suggested that TCM may be the ideal choice in the future for the treatment of opiate addiction. This review examines the significance of effective Chinese herbs and prescriptions for Drug Addiction, Alcohol addiction and food addiction.

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The data shown below were collected from the profile of 1 X user 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 6 10%
Researcher 5 9%
Student > Bachelor 4 7%
Student > Ph. D. Student 4 7%
Student > Master 4 7%
Other 7 12%
Unknown 28 48%
Readers by discipline Count As %
Medicine and Dentistry 12 21%
Neuroscience 4 7%
Psychology 4 7%
Biochemistry, Genetics and Molecular Biology 2 3%
Agricultural and Biological Sciences 1 2%
Other 7 12%
Unknown 28 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 November 2017.
All research outputs
#18,575,277
of 23,007,053 outputs
Outputs from Advances in experimental medicine and biology
#3,324
of 4,961 outputs
Outputs of similar age
#311,425
of 421,244 outputs
Outputs of similar age from Advances in experimental medicine and biology
#333
of 490 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,961 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 421,244 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.