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The potential insights of Traditional Chinese Medicine on treatment of COVID-19

Overview of attention for article published in Chinese Medicine, May 2020
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Mentioned by

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1 X user

Citations

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63 Dimensions

Readers on

mendeley
110 Mendeley
Title
The potential insights of Traditional Chinese Medicine on treatment of COVID-19
Published in
Chinese Medicine, May 2020
DOI 10.1186/s13020-020-00326-w
Pubmed ID
Authors

Tong Tong, Ying-Qi Wu, Wei-Jian Ni, Ai-Zong Shen, Sheng Liu

X Demographics

X Demographics

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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 13%
Student > Ph. D. Student 11 10%
Researcher 11 10%
Student > Master 7 6%
Student > Postgraduate 6 5%
Other 26 24%
Unknown 35 32%
Readers by discipline Count As %
Medicine and Dentistry 25 23%
Nursing and Health Professions 9 8%
Biochemistry, Genetics and Molecular Biology 8 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Engineering 4 4%
Other 23 21%
Unknown 37 34%
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 07 June 2020.
All research outputs
#20,667,544
of 25,387,668 outputs
Outputs from Chinese Medicine
#424
of 660 outputs
Outputs of similar age
#327,978
of 426,353 outputs
Outputs of similar age from Chinese Medicine
#12
of 19 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 is in the 21st percentile – i.e., 21% 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 426,353 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.