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GPU-accelerated integral imaging and full-parallax 3D display using stereo–plenoptic camera system

Overview of attention for article published in Optics & Lasers in Engineering, April 2019
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
11 Mendeley
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Title
GPU-accelerated integral imaging and full-parallax 3D display using stereo–plenoptic camera system
Published in
Optics & Lasers in Engineering, April 2019
DOI 10.1016/j.optlaseng.2018.11.023
Authors

Seokmin Hong, Nicolò Incardona, Kotaro Inoue, Myungjin Cho, Genaro Saavedra, Manuel Martinez-Corral

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Student > Ph. D. Student 2 18%
Student > Bachelor 2 18%
Professor 1 9%
Student > Doctoral Student 1 9%
Other 2 18%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 5 45%
Engineering 3 27%
Medicine and Dentistry 1 9%
Physics and Astronomy 1 9%
Unknown 1 9%

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 04 December 2018.
All research outputs
#8,763,444
of 13,976,728 outputs
Outputs from Optics & Lasers in Engineering
#244
of 322 outputs
Outputs of similar age
#218,091
of 368,535 outputs
Outputs of similar age from Optics & Lasers in Engineering
#2
of 6 outputs
Altmetric has tracked 13,976,728 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 322 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 15th percentile – i.e., 15% 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 368,535 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.