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Research of insomnia on traditional Chinese medicine diagnosis and treatment based on machine learning

Overview of attention for article published in Chinese Medicine, January 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Research of insomnia on traditional Chinese medicine diagnosis and treatment based on machine learning
Published in
Chinese Medicine, January 2021
DOI 10.1186/s13020-020-00409-8
Pubmed ID
Authors

Yuqi Tang, Zechen Li, Dongdong Yang, Yu Fang, Shanshan Gao, Shan Liang, Tao Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 7%
Lecturer 2 7%
Student > Bachelor 2 7%
Student > Ph. D. Student 2 7%
Professor 2 7%
Other 4 14%
Unknown 15 52%
Readers by discipline Count As %
Computer Science 4 14%
Medicine and Dentistry 3 10%
Nursing and Health Professions 3 10%
Engineering 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 15 52%
Attention Score in Context

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 27 March 2021.
All research outputs
#15,529,011
of 25,387,668 outputs
Outputs from Chinese Medicine
#240
of 660 outputs
Outputs of similar age
#274,346
of 520,178 outputs
Outputs of similar age from Chinese Medicine
#6
of 12 outputs
Altmetric has tracked 25,387,668 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 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 gotten more attention than average, scoring higher than 62% 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 520,178 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.