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Multiparametric MRI Features Predict the SYP Gene Expression in Low-Grade Glioma Patients: A Machine Learning-Based Radiomics Analysis

Overview of attention for article published in Frontiers in oncology, May 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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12 Dimensions

Readers on

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8 Mendeley
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Title
Multiparametric MRI Features Predict the SYP Gene Expression in Low-Grade Glioma Patients: A Machine Learning-Based Radiomics Analysis
Published in
Frontiers in oncology, May 2021
DOI 10.3389/fonc.2021.663451
Pubmed ID
Authors

Zheng Xiao, Shun Yao, Zong-ming Wang, Di-min Zhu, Ya-nan Bie, Shi-zhong Zhang, Wen-li Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Bachelor 2 25%
Student > Postgraduate 1 13%
Student > Doctoral Student 1 13%
Unknown 2 25%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 13%
Physics and Astronomy 1 13%
Medicine and Dentistry 1 13%
Neuroscience 1 13%
Design 1 13%
Other 0 0%
Unknown 3 38%
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 31 May 2021.
All research outputs
#21,307,042
of 26,163,973 outputs
Outputs from Frontiers in oncology
#11,634
of 22,913 outputs
Outputs of similar age
#351,866
of 464,019 outputs
Outputs of similar age from Frontiers in oncology
#666
of 1,402 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 28th percentile – i.e., 28% 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 464,019 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,402 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.