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TXNIP Participated in NLRP3-Mediated Inflammation in a Rat Model of Cervical Spondylotic Myelopathy

Overview of attention for article published in Journal of Inflammation Research, August 2022
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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1 Mendeley
Title
TXNIP Participated in NLRP3-Mediated Inflammation in a Rat Model of Cervical Spondylotic Myelopathy
Published in
Journal of Inflammation Research, August 2022
DOI 10.2147/jir.s373614
Pubmed ID
Authors

Peisheng Liu, Xiaofeng Li, Jing Liu, Hengjia Zhang, Zhitao You, Jianfeng 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 100%
Readers by discipline Count As %
Neuroscience 1 100%
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 09 August 2022.
All research outputs
#21,721,779
of 24,241,559 outputs
Outputs from Journal of Inflammation Research
#684
of 882 outputs
Outputs of similar age
#351,827
of 420,203 outputs
Outputs of similar age from Journal of Inflammation Research
#66
of 84 outputs
Altmetric has tracked 24,241,559 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 882 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. 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 420,203 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 84 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.