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Bayesian modeling of uncertainty in low-level vision

Overview of attention for article published in International Journal of Computer Vision, December 1990
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
143 Mendeley
citeulike
2 CiteULike
Title
Bayesian modeling of uncertainty in low-level vision
Published in
International Journal of Computer Vision, December 1990
DOI 10.1007/bf00126502
Authors

Richard Szeliski

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 5%
France 4 3%
Switzerland 3 2%
United Kingdom 3 2%
Germany 2 1%
Canada 2 1%
Spain 2 1%
Russia 2 1%
Turkey 1 <1%
Other 2 1%
Unknown 115 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 33%
Researcher 33 23%
Professor 13 9%
Student > Master 11 8%
Professor > Associate Professor 8 6%
Other 22 15%
Unknown 9 6%
Readers by discipline Count As %
Computer Science 69 48%
Engineering 33 23%
Agricultural and Biological Sciences 6 4%
Psychology 6 4%
Medicine and Dentistry 4 3%
Other 9 6%
Unknown 16 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 April 2021.
All research outputs
#4,774,403
of 23,088,369 outputs
Outputs from International Journal of Computer Vision
#202
of 1,170 outputs
Outputs of similar age
#4,440
of 59,881 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 6 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,170 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 59,881 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
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 all of them