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Network Pharmacology-Based Investigation of the Molecular Mechanisms of the Chinese Herbal Formula Shenyi in the Treatment of Diabetic Nephropathy

Overview of attention for article published in Frontiers in Medicine, June 2022
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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6 Mendeley
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Title
Network Pharmacology-Based Investigation of the Molecular Mechanisms of the Chinese Herbal Formula Shenyi in the Treatment of Diabetic Nephropathy
Published in
Frontiers in Medicine, June 2022
DOI 10.3389/fmed.2022.898624
Pubmed ID
Authors

Keng Chen, Yiyao Deng, Shunlai Shang, Ping Li, Linchang Liu, Xiangmei Chen

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Student > Bachelor 1 17%
Lecturer > Senior Lecturer 1 17%
Unknown 3 50%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Unknown 4 67%
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 29 June 2022.
All research outputs
#21,481,248
of 23,979,951 outputs
Outputs from Frontiers in Medicine
#5,585
of 6,355 outputs
Outputs of similar age
#363,446
of 431,855 outputs
Outputs of similar age from Frontiers in Medicine
#497
of 588 outputs
Altmetric has tracked 23,979,951 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 1st percentile – i.e., 1% 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 431,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 588 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.