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Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain dataset

Overview of attention for article published in Frontiers in Aging Neuroscience, December 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users

Citations

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6 Dimensions

Readers on

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15 Mendeley
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Title
Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain dataset
Published in
Frontiers in Aging Neuroscience, December 2022
DOI 10.3389/fnagi.2022.1019869
Pubmed ID
Authors

Mariam Khayretdinova, Alexey Shovkun, Vladislav Degtyarev, Andrey Kiryasov, Polina Pshonkovskaya, Ilya Zakharov

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 20%
Researcher 3 20%
Student > Ph. D. Student 1 7%
Lecturer 1 7%
Unknown 7 47%
Readers by discipline Count As %
Unspecified 3 20%
Neuroscience 3 20%
Medicine and Dentistry 1 7%
Unknown 8 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 June 2023.
All research outputs
#13,459,412
of 24,089,177 outputs
Outputs from Frontiers in Aging Neuroscience
#2,964
of 5,132 outputs
Outputs of similar age
#160,139
of 452,013 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#123
of 234 outputs
Altmetric has tracked 24,089,177 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 42nd percentile – i.e., 42% 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 452,013 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.