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Machine learning identification of cuproptosis and necroptosis-associated molecular subtypes to aid in prognosis assessment and immunotherapy response prediction in low-grade glioma

Overview of attention for article published in Frontiers in Genetics, September 2022
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1 X user

Citations

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22 Dimensions

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12 Mendeley
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Title
Machine learning identification of cuproptosis and necroptosis-associated molecular subtypes to aid in prognosis assessment and immunotherapy response prediction in low-grade glioma
Published in
Frontiers in Genetics, September 2022
DOI 10.3389/fgene.2022.951239
Pubmed ID
Authors

Ye Miao, Jifeng Liu, Xishu Liu, Qihang Yuan, Hanshuo Li, Yunshu Zhang, Yibo Zhan, Xiaoshi Feng

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 17%
Researcher 2 17%
Student > Ph. D. Student 1 8%
Student > Bachelor 1 8%
Unknown 6 50%
Readers by discipline Count As %
Environmental Science 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Computer Science 1 8%
Medicine and Dentistry 1 8%
Materials Science 1 8%
Other 0 0%
Unknown 7 58%
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 12 September 2022.
All research outputs
#20,940,593
of 23,577,761 outputs
Outputs from Frontiers in Genetics
#9,061
of 12,603 outputs
Outputs of similar age
#346,163
of 433,902 outputs
Outputs of similar age from Frontiers in Genetics
#693
of 1,151 outputs
Altmetric has tracked 23,577,761 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 12,603 research outputs from this source. They receive a mean Attention Score of 3.7. 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 433,902 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 1,151 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.