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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
48 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 15%
Student > Ph. D. Student 7 15%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 9 19%
Unknown 15 31%
Readers by discipline Count As %
Computer Science 10 21%
Unspecified 7 15%
Engineering 6 13%
Psychology 5 10%
Business, Management and Accounting 1 2%
Other 3 6%
Unknown 16 33%

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
#2,866,303
of 21,328,171 outputs
Outputs from Journal of Big Data
#57
of 312 outputs
Outputs of similar age
#94,331
of 484,543 outputs
Outputs of similar age from Journal of Big Data
#12
of 61 outputs
Altmetric has tracked 21,328,171 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 312 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 484,543 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 80% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.