↓ Skip to main content

Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms

Overview of attention for article published in Virtual Reality, May 2023
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 463)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
14 news outlets
twitter
9 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
13 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms
Published in
Virtual Reality, May 2023
DOI 10.1007/s10055-023-00813-z
Authors

Syed Fawad M. Zaidi, Niusha Shafiabady, Justin Beilby

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 8%
Professor 1 8%
Student > Bachelor 1 8%
Researcher 1 8%
Lecturer 1 8%
Other 0 0%
Unknown 8 62%
Readers by discipline Count As %
Medicine and Dentistry 2 15%
Arts and Humanities 1 8%
Computer Science 1 8%
Unspecified 1 8%
Unknown 8 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 109. 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 12 June 2023.
All research outputs
#401,816
of 26,122,087 outputs
Outputs from Virtual Reality
#10
of 463 outputs
Outputs of similar age
#8,805
of 397,153 outputs
Outputs of similar age from Virtual Reality
#2
of 16 outputs
Altmetric has tracked 26,122,087 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 463 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 97% 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 397,153 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.