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A Deep Learning-Based Approach to Video-Based Eye Tracking for Human Psychophysics

Overview of attention for article published in Frontiers in Human Neuroscience, July 2021
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1 X user

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72 Mendeley
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Title
A Deep Learning-Based Approach to Video-Based Eye Tracking for Human Psychophysics
Published in
Frontiers in Human Neuroscience, July 2021
DOI 10.3389/fnhum.2021.685830
Pubmed ID
Authors

Niklas Zdarsky, Stefan Treue, Moein Esghaei

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 13%
Researcher 8 11%
Student > Bachelor 6 8%
Student > Master 6 8%
Other 4 6%
Other 9 13%
Unknown 30 42%
Readers by discipline Count As %
Computer Science 9 13%
Neuroscience 6 8%
Business, Management and Accounting 4 6%
Agricultural and Biological Sciences 3 4%
Psychology 3 4%
Other 13 18%
Unknown 34 47%
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 10 January 2023.
All research outputs
#20,887,917
of 23,510,717 outputs
Outputs from Frontiers in Human Neuroscience
#6,655
of 7,303 outputs
Outputs of similar age
#362,358
of 439,060 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#159
of 189 outputs
Altmetric has tracked 23,510,717 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 1st percentile – i.e., 1% 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 439,060 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.