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The affordance of virtual reality to enable the sensory representation of multi-dimensional data for immersive analytics: from experience to insight

Overview of attention for article published in Journal of Big Data, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
84 Mendeley
Title
The affordance of virtual reality to enable the sensory representation of multi-dimensional data for immersive analytics: from experience to insight
Published in
Journal of Big Data, December 2018
DOI 10.1186/s40537-018-0158-z
Authors

Jules Moloney, Branka Spehar, Anastasia Globa, Rui Wang

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

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 19%
Student > Master 15 18%
Researcher 9 11%
Student > Postgraduate 6 7%
Student > Doctoral Student 4 5%
Other 7 8%
Unknown 27 32%
Readers by discipline Count As %
Computer Science 23 27%
Engineering 9 11%
Psychology 7 8%
Design 7 8%
Social Sciences 4 5%
Other 9 11%
Unknown 25 30%

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 27 December 2018.
All research outputs
#8,813,691
of 14,067,456 outputs
Outputs from Journal of Big Data
#104
of 178 outputs
Outputs of similar age
#217,550
of 367,977 outputs
Outputs of similar age from Journal of Big Data
#17
of 30 outputs
Altmetric has tracked 14,067,456 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 178 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 7th percentile – i.e., 7% 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 367,977 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.