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Long Non-coding RNAs Gabarapl2 and Chrnb2 Positively Regulate Inflammatory Signaling in a Mouse Model of Dry Eye

Overview of attention for article published in Frontiers in Medicine, December 2021
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1 X user

Citations

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3 Mendeley
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Title
Long Non-coding RNAs Gabarapl2 and Chrnb2 Positively Regulate Inflammatory Signaling in a Mouse Model of Dry Eye
Published in
Frontiers in Medicine, December 2021
DOI 10.3389/fmed.2021.808940
Pubmed ID
Authors

Yuhan Yang, Minjie Chen, Zimeng Zhai, Yiqin Dai, Hao Gu, Xujiao Zhou, Jiaxu Hong

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 3 100%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 33%
Unknown 2 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 10 January 2022.
All research outputs
#20,310,658
of 22,851,489 outputs
Outputs from Frontiers in Medicine
#4,901
of 5,671 outputs
Outputs of similar age
#409,736
of 501,330 outputs
Outputs of similar age from Frontiers in Medicine
#472
of 593 outputs
Altmetric has tracked 22,851,489 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 5,671 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. 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 501,330 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 593 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.