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Identifying Potential Diagnostic Genes for Diabetic Nephropathy Based on Hypoxia and Immune Status

Overview of attention for article published in Journal of Inflammation Research, December 2021
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1 X user

Citations

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Readers on

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9 Mendeley
Title
Identifying Potential Diagnostic Genes for Diabetic Nephropathy Based on Hypoxia and Immune Status
Published in
Journal of Inflammation Research, December 2021
DOI 10.2147/jir.s341032
Pubmed ID
Authors

Changyan Li, Feng Su, Le Zhang, Fang Liu, Wenxing Fan, Zhen Li, JingYuan Ma

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 22%
Student > Bachelor 2 22%
Student > Ph. D. Student 1 11%
Unknown 4 44%
Readers by discipline Count As %
Sports and Recreations 2 22%
Pharmacology, Toxicology and Pharmaceutical Science 1 11%
Agricultural and Biological Sciences 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 4 44%
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 22 December 2021.
All research outputs
#20,221,866
of 22,745,803 outputs
Outputs from Journal of Inflammation Research
#613
of 783 outputs
Outputs of similar age
#407,393
of 499,218 outputs
Outputs of similar age from Journal of Inflammation Research
#74
of 106 outputs
Altmetric has tracked 22,745,803 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 783 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. 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 499,218 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 106 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.