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Integrating Network Pharmacology and Component Analysis to Study the Potential Mechanisms of Qi-Fu-Yin Decoction in Treating Alzheimer’s Disease

Overview of attention for article published in Drug Design, Development and Therapy, September 2023
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
11 Mendeley
Title
Integrating Network Pharmacology and Component Analysis to Study the Potential Mechanisms of Qi-Fu-Yin Decoction in Treating Alzheimer’s Disease
Published in
Drug Design, Development and Therapy, September 2023
DOI 10.2147/dddt.s402624
Pubmed ID
Authors

Xia Lei, Hongdan Xu, Yan Wang, Hainan Gao, Deping Zhao, Jinfeng Zhang, Ziyue Zhu, Kun Zuo, Ying Liu, Xiaoliang Li, Ning Zhang

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Student > Bachelor 1 9%
Lecturer 1 9%
Unknown 7 64%
Readers by discipline Count As %
Chemical Engineering 1 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Neuroscience 1 9%
Unknown 7 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 22 September 2023.
All research outputs
#3,522,850
of 25,965,655 outputs
Outputs from Drug Design, Development and Therapy
#206
of 2,288 outputs
Outputs of similar age
#58,034
of 359,707 outputs
Outputs of similar age from Drug Design, Development and Therapy
#3
of 29 outputs
Altmetric has tracked 25,965,655 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 90% 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 359,707 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 83% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.