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Monocular, Boundary-Preserving Joint Recovery of Scene Flow and Depth

Overview of attention for article published in Frontiers in ICT, September 2016
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Title
Monocular, Boundary-Preserving Joint Recovery of Scene Flow and Depth
Published in
Frontiers in ICT, September 2016
DOI 10.3389/fict.2016.00021
Authors

Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed

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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 18 November 2016.
All research outputs
#18,473,108
of 22,890,496 outputs
Outputs from Frontiers in ICT
#95
of 142 outputs
Outputs of similar age
#244,709
of 322,482 outputs
Outputs of similar age from Frontiers in ICT
#5
of 10 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 142 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. 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 322,482 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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.