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Classifying Individuals with ASD Through Facial Emotion Recognition and Eye-Tracking

Overview of attention for article published in Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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54 Dimensions

Readers on

mendeley
112 Mendeley
Title
Classifying Individuals with ASD Through Facial Emotion Recognition and Eye-Tracking
Published in
Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 2019
DOI 10.1109/embc.2019.8857005
Pubmed ID
Authors

Ming Jiang, Sunday M. Francis, Diksha Srishyla, Christine Conelea, Qi Zhao, Suma Jacob

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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 13%
Student > Bachelor 14 13%
Student > Ph. D. Student 12 11%
Researcher 10 9%
Student > Postgraduate 5 4%
Other 16 14%
Unknown 40 36%
Readers by discipline Count As %
Computer Science 22 20%
Psychology 16 14%
Medicine and Dentistry 7 6%
Neuroscience 7 6%
Engineering 4 4%
Other 13 12%
Unknown 43 38%
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 18 January 2020.
All research outputs
#19,954,338
of 25,385,509 outputs
Outputs from Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society
#2,758
of 4,377 outputs
Outputs of similar age
#261,585
of 363,724 outputs
Outputs of similar age from Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society
#188
of 311 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,377 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 34th percentile – i.e., 34% 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 363,724 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 311 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.