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Four-class emotion classification in virtual reality using pupillometry

Overview of attention for article published in Journal of Big Data, July 2020
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Mentioned by

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1 X user

Citations

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26 Dimensions

Readers on

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91 Mendeley
Title
Four-class emotion classification in virtual reality using pupillometry
Published in
Journal of Big Data, July 2020
DOI 10.1186/s40537-020-00322-9
Authors

Lim Jia Zheng, James Mountstephens, Jason Teo

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

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 12%
Researcher 10 11%
Student > Ph. D. Student 9 10%
Student > Bachelor 9 10%
Lecturer 4 4%
Other 15 16%
Unknown 33 36%
Readers by discipline Count As %
Computer Science 14 15%
Engineering 11 12%
Psychology 7 8%
Business, Management and Accounting 4 4%
Neuroscience 4 4%
Other 12 13%
Unknown 39 43%
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 24 March 2023.
All research outputs
#15,872,070
of 23,578,918 outputs
Outputs from Journal of Big Data
#209
of 354 outputs
Outputs of similar age
#249,806
of 398,557 outputs
Outputs of similar age from Journal of Big Data
#12
of 19 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 354 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 26th percentile – i.e., 26% 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 398,557 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.