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Predicting the brain age of children with cerebral palsy using a two-dimensional convolutional neural networks prediction model without gray and white matter segmentation

Overview of attention for article published in Frontiers in Neurology, November 2022
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2 X users

Citations

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7 Mendeley
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Title
Predicting the brain age of children with cerebral palsy using a two-dimensional convolutional neural networks prediction model without gray and white matter segmentation
Published in
Frontiers in Neurology, November 2022
DOI 10.3389/fneur.2022.1040087
Pubmed ID
Authors

Chun-yu Zhang, Bao-feng Yan, Nurehemaiti Mutalifu, Ya-wei Fu, Jiang Shao, Jun-jie Wu, Qi Guan, Song-hai Biedelehan, Ling-xiao Tong, Xin-ping Luan

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 14%
Unknown 6 86%
Readers by discipline Count As %
Computer Science 1 14%
Unknown 6 86%
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 25 November 2022.
All research outputs
#18,709,638
of 23,189,371 outputs
Outputs from Frontiers in Neurology
#7,955
of 12,118 outputs
Outputs of similar age
#301,601
of 439,146 outputs
Outputs of similar age from Frontiers in Neurology
#373
of 646 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,118 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 24th percentile – i.e., 24% 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 439,146 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 646 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.