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ErHuang Formula Improves Renal Fibrosis in Diabetic Nephropathy Rats by Inhibiting CXCL6/JAK/STAT3 Signaling Pathway

Overview of attention for article published in Frontiers in Pharmacology, January 2020
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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2 X users

Citations

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26 Dimensions

Readers on

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17 Mendeley
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Title
ErHuang Formula Improves Renal Fibrosis in Diabetic Nephropathy Rats by Inhibiting CXCL6/JAK/STAT3 Signaling Pathway
Published in
Frontiers in Pharmacology, January 2020
DOI 10.3389/fphar.2019.01596
Pubmed ID
Authors

Yu-Li Shen, Yi-ping Jiang, Xiao-Qin Li, Su-Juan Wang, Ming-Hua Ma, Chun-Yan Zhang, Jian-Yong Zhu, Khalid Rahman, Li-Jun Zhang, Xin Luan, Hong Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 12%
Professor > Associate Professor 2 12%
Student > Master 2 12%
Lecturer 1 6%
Student > Bachelor 1 6%
Other 1 6%
Unknown 8 47%
Readers by discipline Count As %
Medicine and Dentistry 6 35%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Immunology and Microbiology 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 8 47%
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 18 January 2024.
All research outputs
#16,717,429
of 26,329,145 outputs
Outputs from Frontiers in Pharmacology
#6,017
of 20,206 outputs
Outputs of similar age
#274,464
of 481,237 outputs
Outputs of similar age from Frontiers in Pharmacology
#160
of 428 outputs
Altmetric has tracked 26,329,145 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,206 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 67% 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 481,237 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 428 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 60% of its contemporaries.