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SGLT2 inhibitors improve kidney function and morphology by regulating renal metabolic reprogramming in mice with diabetic kidney disease

Overview of attention for article published in Journal of Translational Medicine, September 2022
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1 X user

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14 Mendeley
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Title
SGLT2 inhibitors improve kidney function and morphology by regulating renal metabolic reprogramming in mice with diabetic kidney disease
Published in
Journal of Translational Medicine, September 2022
DOI 10.1186/s12967-022-03629-8
Pubmed ID
Authors

Yong-Ping Lu, Ze-Yu Zhang, Hong-Wei Wu, Li-Jing Fang, Bo Hu, Chun Tang, Yi-Qing Zhang, Lianghong Yin, Dong-E. Tang, Zhi-Hua Zheng, Ting Zhu, Yong Dai

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 14%
Student > Bachelor 2 14%
Unspecified 1 7%
Student > Ph. D. Student 1 7%
Unknown 8 57%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 4 29%
Unspecified 1 7%
Medicine and Dentistry 1 7%
Unknown 8 57%
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 15 September 2022.
All research outputs
#20,738,791
of 23,339,727 outputs
Outputs from Journal of Translational Medicine
#3,406
of 4,116 outputs
Outputs of similar age
#346,547
of 435,856 outputs
Outputs of similar age from Journal of Translational Medicine
#96
of 124 outputs
Altmetric has tracked 23,339,727 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 4,116 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 435,856 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 124 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.