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A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis

Overview of attention for article published in Frontiers in Neuroscience, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
2 news outlets
twitter
12 X users

Readers on

mendeley
206 Mendeley
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Title
A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis
Published in
Frontiers in Neuroscience, October 2020
DOI 10.3389/fnins.2020.00779
Pubmed ID
Authors

Li Zhang, Mingliang Wang, Mingxia Liu, Daoqiang Zhang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 206 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 14%
Student > Master 27 13%
Student > Doctoral Student 11 5%
Researcher 9 4%
Lecturer 9 4%
Other 25 12%
Unknown 97 47%
Readers by discipline Count As %
Computer Science 31 15%
Engineering 24 12%
Neuroscience 16 8%
Medicine and Dentistry 13 6%
Biochemistry, Genetics and Molecular Biology 5 2%
Other 10 5%
Unknown 107 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 06 November 2020.
All research outputs
#1,816,026
of 26,744,825 outputs
Outputs from Frontiers in Neuroscience
#917
of 12,044 outputs
Outputs of similar age
#46,323
of 441,821 outputs
Outputs of similar age from Frontiers in Neuroscience
#38
of 313 outputs
Altmetric has tracked 26,744,825 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,044 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done particularly well, scoring higher than 92% of its peers.
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 441,821 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 313 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.