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Traditional Chinese Medicine: Role in Reducing β-Amyloid, Apoptosis, Autophagy, Neuroinflammation, Oxidative Stress, and Mitochondrial Dysfunction of Alzheimer’s Disease

Overview of attention for article published in Frontiers in Pharmacology, April 2020
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
twitter
19 X users

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
67 Mendeley
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Title
Traditional Chinese Medicine: Role in Reducing β-Amyloid, Apoptosis, Autophagy, Neuroinflammation, Oxidative Stress, and Mitochondrial Dysfunction of Alzheimer’s Disease
Published in
Frontiers in Pharmacology, April 2020
DOI 10.3389/fphar.2020.00497
Pubmed ID
Authors

Shi-Yu Chen, Yue Gao, Jia-Yi Sun, Xian-Li Meng, Dong Yang, Lin-Hong Fan, Li Xiang, Ping Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 15%
Researcher 7 10%
Student > Bachelor 7 10%
Student > Ph. D. Student 4 6%
Student > Doctoral Student 3 4%
Other 6 9%
Unknown 30 45%
Readers by discipline Count As %
Neuroscience 7 10%
Pharmacology, Toxicology and Pharmaceutical Science 6 9%
Biochemistry, Genetics and Molecular Biology 6 9%
Medicine and Dentistry 5 7%
Agricultural and Biological Sciences 3 4%
Other 9 13%
Unknown 31 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 11 February 2024.
All research outputs
#1,917,387
of 25,483,400 outputs
Outputs from Frontiers in Pharmacology
#762
of 19,844 outputs
Outputs of similar age
#50,713
of 404,488 outputs
Outputs of similar age from Frontiers in Pharmacology
#27
of 499 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,844 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 96% 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 404,488 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 87% of its contemporaries.
We're also able to compare this research output to 499 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.