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A Bayesian approach to binocular steropsis

Overview of attention for article published in International Journal of Computer Vision, August 1996
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Mentioned by

patent
19 patents

Citations

dimensions_citation
171 Dimensions

Readers on

mendeley
68 Mendeley
Title
A Bayesian approach to binocular steropsis
Published in
International Journal of Computer Vision, August 1996
DOI 10.1007/bf00055146
Authors

Peter N. Belhumeur

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 4%
United Kingdom 3 4%
Norway 2 3%
France 1 1%
Switzerland 1 1%
Denmark 1 1%
Canada 1 1%
Russia 1 1%
United States 1 1%
Other 0 0%
Unknown 54 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 38%
Researcher 11 16%
Professor > Associate Professor 6 9%
Student > Master 5 7%
Student > Doctoral Student 4 6%
Other 7 10%
Unknown 9 13%
Readers by discipline Count As %
Computer Science 32 47%
Engineering 16 24%
Mathematics 2 3%
Medicine and Dentistry 2 3%
Agricultural and Biological Sciences 1 1%
Other 4 6%
Unknown 11 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 October 2012.
All research outputs
#7,557,593
of 23,053,169 outputs
Outputs from International Journal of Computer Vision
#399
of 1,166 outputs
Outputs of similar age
#8,358
of 29,677 outputs
Outputs of similar age from International Journal of Computer Vision
#3
of 7 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,166 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 31st percentile – i.e., 31% 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 29,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 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.