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Predicting Brain Age of Healthy Adults Based on Structural MRI Parcellation Using Convolutional Neural Networks

Overview of attention for article published in Frontiers in Neurology, January 2020
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2 X users

Citations

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74 Dimensions

Readers on

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95 Mendeley
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Title
Predicting Brain Age of Healthy Adults Based on Structural MRI Parcellation Using Convolutional Neural Networks
Published in
Frontiers in Neurology, January 2020
DOI 10.3389/fneur.2019.01346
Pubmed ID
Authors

Huiting Jiang, Na Lu, Kewei Chen, Li Yao, Ke Li, Jiacai Zhang, Xiaojuan Guo

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 22%
Researcher 17 18%
Student > Master 10 11%
Student > Bachelor 5 5%
Student > Doctoral Student 4 4%
Other 8 8%
Unknown 30 32%
Readers by discipline Count As %
Neuroscience 22 23%
Computer Science 10 11%
Engineering 8 8%
Medicine and Dentistry 7 7%
Psychology 3 3%
Other 10 11%
Unknown 35 37%
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 08 January 2020.
All research outputs
#18,707,884
of 23,186,937 outputs
Outputs from Frontiers in Neurology
#7,953
of 12,106 outputs
Outputs of similar age
#334,692
of 456,657 outputs
Outputs of similar age from Frontiers in Neurology
#213
of 295 outputs
Altmetric has tracked 23,186,937 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 12,106 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 456,657 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 295 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.