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Depth-image-based rendering with spatial and temporal texture synthesis for 3DTV

Overview of attention for article published in EURASIP Journal on Image and Video Processing, February 2013
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Mentioned by

video
1 YouTube creator

Citations

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21 Dimensions

Readers on

mendeley
18 Mendeley
Title
Depth-image-based rendering with spatial and temporal texture synthesis for 3DTV
Published in
EURASIP Journal on Image and Video Processing, February 2013
DOI 10.1186/1687-5281-2013-9
Authors

Ming Xi, Liang-Hao Wang, Qing-Qing Yang, Dong-Xiao Li, Ming Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 44%
Student > Master 4 22%
Student > Postgraduate 2 11%
Other 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 12 67%
Engineering 4 22%
Medicine and Dentistry 1 6%
Unknown 1 6%
Attention Score in Context

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 17 April 2015.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from EURASIP Journal on Image and Video Processing
#201
of 233 outputs
Outputs of similar age
#263,974
of 296,776 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#3
of 8 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% 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 296,776 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.