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Piavca: a framework for heterogeneous interactions with virtual characters

Overview of attention for article published in Virtual Reality, July 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
24 Mendeley
citeulike
1 CiteULike
Title
Piavca: a framework for heterogeneous interactions with virtual characters
Published in
Virtual Reality, July 2010
DOI 10.1007/s10055-010-0167-5
Authors

Marco Gillies, Xueni Pan, Mel Slater

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Malaysia 1 4%
United States 1 4%
Unknown 21 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Professor > Associate Professor 3 13%
Researcher 3 13%
Student > Doctoral Student 2 8%
Student > Master 2 8%
Other 4 17%
Unknown 5 21%
Readers by discipline Count As %
Computer Science 10 42%
Psychology 4 17%
Engineering 2 8%
Social Sciences 1 4%
Arts and Humanities 1 4%
Other 2 8%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 May 2023.
All research outputs
#6,371,133
of 23,862,416 outputs
Outputs from Virtual Reality
#92
of 391 outputs
Outputs of similar age
#29,492
of 96,483 outputs
Outputs of similar age from Virtual Reality
#2
of 2 outputs
Altmetric has tracked 23,862,416 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 76% 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 96,483 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.