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Exploring the combination and modular characteristics of herbs for alopecia treatment in traditional Chinese medicine: an association rule mining and network analysis study

Overview of attention for article published in BMC Complementary and Alternative Medicine, July 2018
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Title
Exploring the combination and modular characteristics of herbs for alopecia treatment in traditional Chinese medicine: an association rule mining and network analysis study
Published in
BMC Complementary and Alternative Medicine, July 2018
DOI 10.1186/s12906-018-2269-7
Pubmed ID
Authors

Jungtae Leem, Wonmo Jung, Yohwan Kim, Bonghyun Kim, Kyuseok Kim

Abstract

Although alopecia affects the quality of life, its pathogenesis is unknown, because cellular interactions in the hair follicle are complex. Several authors have suggested using herbal medicine to treat alopecia, and bioinformatics and network pharmacology may constitute a new research strategy in this regard because herbal medicines contain various chemical components. This study used association rule mining (ARM) and network analysis to analyze the combinations of medicinal herbs used to treat alopecia. We searched Chinese, Korean, and English databases for literature about alopecia treatment, extracting the names of each herbal prescription and herb. The meridian tropism and classification category of each herb were also investigated. Using ARM, we identified frequently combined two-herb and three-herb sets. Using network analysis, we divided the herbs into several modules according to prescription pattern. Fifty-six articles and 489 herbal medicines were included-312 internal and 177 external medicines. Among the 312 medicinal herbs used in internal medicine group, the most frequently combined two-herb set was Polygonum multiflorum Thunb. () and Angelica sinensis (Oliv.) Dlels (). The most frequently used three-herb combination was Polygonum multiflorum Thunb., Angelica sinensis (Oliv.) Dlels, and Ligusticum chuanxiong Hort. (). In network analysis, three modules were identified. The herbs of Module 1 were related to the liver and kidney meridians, and those of Module 3 were related to the Stomach meridian. We identified the frequency, characteristics, and functional modules of herb combinations frequently used in alopecia treatment. We confirmed the value of classical medicinal herb theory. This finding will prompt further bioinformatics and network pharmacology research on alopecia.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Unspecified 2 17%
Student > Postgraduate 2 17%
Other 1 8%
Student > Master 1 8%
Other 2 17%
Readers by discipline Count As %
Unspecified 4 33%
Psychology 3 25%
Medicine and Dentistry 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Chemistry 1 8%
Other 1 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 July 2018.
All research outputs
#8,016,299
of 13,309,886 outputs
Outputs from BMC Complementary and Alternative Medicine
#1,328
of 2,694 outputs
Outputs of similar age
#148,819
of 267,443 outputs
Outputs of similar age from BMC Complementary and Alternative Medicine
#1
of 1 outputs
Altmetric has tracked 13,309,886 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,694 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them