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Machine learning-based screening of an epithelial-mesenchymal transition-related long non-coding RNA signature reveals lower-grade glioma prognosis and the tumor microenvironment and predicts…

Overview of attention for article published in Frontiers in Molecular Biosciences, August 2022
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1 X user

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9 Mendeley
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Title
Machine learning-based screening of an epithelial-mesenchymal transition-related long non-coding RNA signature reveals lower-grade glioma prognosis and the tumor microenvironment and predicts antitumor therapy response
Published in
Frontiers in Molecular Biosciences, August 2022
DOI 10.3389/fmolb.2022.942966
Pubmed ID
Authors

Nan Wang, Xin Gao, Hang Ji, Shuai Ma, Jiasheng Wu, Jiawei Dong, Fang Wang, Hongtao Zhao, Zhihui Liu, Xiuwei Yan, Bo Li, Jianyang Du, Jiheng Zhang, Shaoshan Hu

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 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 > Ph. D. Student 1 11%
Other 1 11%
Student > Master 1 11%
Unknown 6 67%
Readers by discipline Count As %
Computer Science 1 11%
Engineering 1 11%
Unknown 7 78%
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 19 September 2022.
All research outputs
#20,766,515
of 23,371,053 outputs
Outputs from Frontiers in Molecular Biosciences
#2,683
of 4,027 outputs
Outputs of similar age
#344,706
of 433,564 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#234
of 403 outputs
Altmetric has tracked 23,371,053 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 4,027 research outputs from this source. They receive a mean Attention Score of 3.3. 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 433,564 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 403 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.