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Multiclass emotion prediction using heart rate and virtual reality stimuli

Overview of attention for article published in Journal of Big Data, January 2021
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
77 Mendeley
Title
Multiclass emotion prediction using heart rate and virtual reality stimuli
Published in
Journal of Big Data, January 2021
DOI 10.1186/s40537-020-00401-x
Authors

Aaron Frederick Bulagang, 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 12%
Researcher 6 8%
Student > Master 6 8%
Student > Doctoral Student 5 6%
Unspecified 5 6%
Other 13 17%
Unknown 33 43%
Readers by discipline Count As %
Computer Science 13 17%
Engineering 9 12%
Psychology 7 9%
Unspecified 5 6%
Business, Management and Accounting 2 3%
Other 6 8%
Unknown 35 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 15 December 2021.
All research outputs
#3,103,432
of 22,699,621 outputs
Outputs from Journal of Big Data
#60
of 332 outputs
Outputs of similar age
#88,073
of 498,429 outputs
Outputs of similar age from Journal of Big Data
#4
of 21 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 332 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 well, scoring higher than 81% 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 498,429 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 82% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.