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Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network

Overview of attention for article published in Frontiers in Neuroscience, January 2020
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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6 X users

Citations

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163 Dimensions

Readers on

mendeley
162 Mendeley
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Title
Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network
Published in
Frontiers in Neuroscience, January 2020
DOI 10.3389/fnins.2019.01325
Pubmed ID
Authors

Zeinab Sherkatghanad, Mohammadsadegh Akhondzadeh, Soorena Salari, Mariam Zomorodi-Moghadam, Moloud Abdar, U. Rajendra Acharya, Reza Khosrowabadi, Vahid Salari

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 162 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 12%
Student > Ph. D. Student 16 10%
Student > Bachelor 15 9%
Researcher 14 9%
Other 9 6%
Other 17 10%
Unknown 72 44%
Readers by discipline Count As %
Computer Science 41 25%
Engineering 16 10%
Neuroscience 7 4%
Unspecified 4 2%
Agricultural and Biological Sciences 3 2%
Other 15 9%
Unknown 76 47%
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 05 February 2020.
All research outputs
#15,252,603
of 25,622,179 outputs
Outputs from Frontiers in Neuroscience
#6,369
of 11,639 outputs
Outputs of similar age
#246,963
of 479,694 outputs
Outputs of similar age from Frontiers in Neuroscience
#183
of 310 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 44th percentile – i.e., 44% 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 479,694 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 310 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.