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An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Lung Squamous Carcinoma

Overview of attention for article published in Frontiers in Cell and Developmental Biology, March 2022
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Mentioned by

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1 X user

Citations

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17 Dimensions

Readers on

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5 Mendeley
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Title
An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Lung Squamous Carcinoma
Published in
Frontiers in Cell and Developmental Biology, March 2022
DOI 10.3389/fcell.2022.770550
Pubmed ID
Authors

Wen-Yu Zhai, Fang-Fang Duan, Si Chen, Jun-Ye Wang, Ze-Rui Zhao, Yi-Zhi Wang, Bing-Yu Rao, Yao-Bin Lin, Hao Long

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Student > Postgraduate 1 20%
Student > Bachelor 1 20%
Unknown 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Computer Science 1 20%
Medicine and Dentistry 1 20%
Unknown 1 20%
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 01 March 2022.
All research outputs
#21,293,845
of 23,923,788 outputs
Outputs from Frontiers in Cell and Developmental Biology
#6,416
of 9,631 outputs
Outputs of similar age
#365,006
of 445,414 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#594
of 923 outputs
Altmetric has tracked 23,923,788 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 9,631 research outputs from this source. They receive a mean Attention Score of 3.5. 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 445,414 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 923 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.