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Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score

Overview of attention for article published in International Journal of Computer Vision, July 2006
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Mentioned by

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1 YouTube creator

Citations

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211 Dimensions

Readers on

mendeley
217 Mendeley
citeulike
2 CiteULike
Title
Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score
Published in
International Journal of Computer Vision, July 2006
DOI 10.1007/s11263-006-8671-5
Authors

Jean-Philippe Pons, Renaud Keriven, Olivier Faugeras

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 4%
United Kingdom 6 3%
Switzerland 4 2%
Germany 3 1%
Italy 2 <1%
Canada 2 <1%
France 2 <1%
Australia 1 <1%
Korea, Republic of 1 <1%
Other 8 4%
Unknown 179 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 86 40%
Researcher 38 18%
Student > Master 26 12%
Professor > Associate Professor 9 4%
Other 9 4%
Other 30 14%
Unknown 19 9%
Readers by discipline Count As %
Computer Science 127 59%
Engineering 46 21%
Earth and Planetary Sciences 6 3%
Mathematics 5 2%
Medicine and Dentistry 2 <1%
Other 6 3%
Unknown 25 12%
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 28 April 2014.
All research outputs
#23,391,126
of 26,017,215 outputs
Outputs from International Journal of Computer Vision
#1,281
of 1,452 outputs
Outputs of similar age
#88,791
of 91,781 outputs
Outputs of similar age from International Journal of Computer Vision
#19
of 19 outputs
Altmetric has tracked 26,017,215 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 1,452 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 91,781 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 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.