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User-elicited dual-hand interactions for manipulating 3D objects in virtual reality environments

Overview of attention for article published in Human-centric Computing and Information Sciences, October 2018
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Mentioned by

twitter
1 tweeter

Citations

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11 Dimensions

Readers on

mendeley
51 Mendeley
Title
User-elicited dual-hand interactions for manipulating 3D objects in virtual reality environments
Published in
Human-centric Computing and Information Sciences, October 2018
DOI 10.1186/s13673-018-0154-5
Authors

Vijayakumar Nanjappan, Hai-Ning Liang, Feiyu Lu, Konstantinos Papangelis, Yong Yue, Ka Lok Man

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

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 22%
Student > Ph. D. Student 9 18%
Researcher 7 14%
Student > Bachelor 7 14%
Student > Postgraduate 3 6%
Other 4 8%
Unknown 10 20%
Readers by discipline Count As %
Computer Science 24 47%
Engineering 7 14%
Arts and Humanities 2 4%
Design 2 4%
Business, Management and Accounting 2 4%
Other 2 4%
Unknown 12 24%

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 29 October 2018.
All research outputs
#8,602,115
of 13,710,419 outputs
Outputs from Human-centric Computing and Information Sciences
#23
of 42 outputs
Outputs of similar age
#189,561
of 309,289 outputs
Outputs of similar age from Human-centric Computing and Information Sciences
#6
of 9 outputs
Altmetric has tracked 13,710,419 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 42 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one scored the same or higher as 19 of them.
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 309,289 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.