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Bayesian Defogging

Overview of attention for article published in International Journal of Computer Vision, November 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

2 patents


145 Dimensions

Readers on

64 Mendeley
Bayesian Defogging
Published in
International Journal of Computer Vision, November 2011
DOI 10.1007/s11263-011-0508-1

Ko Nishino, Louis Kratz, Stephen Lombardi

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Brazil 1 2%
Japan 1 2%
Algeria 1 2%
Unknown 59 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 31%
Researcher 8 13%
Student > Master 8 13%
Unspecified 5 8%
Other 5 8%
Other 18 28%
Readers by discipline Count As %
Computer Science 39 61%
Engineering 14 22%
Unspecified 6 9%
Mathematics 1 2%
Earth and Planetary Sciences 1 2%
Other 3 5%

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 31 January 2017.
All research outputs
of 11,073,641 outputs
Outputs from International Journal of Computer Vision
of 527 outputs
Outputs of similar age
of 101,047 outputs
Outputs of similar age from International Journal of Computer Vision
of 2 outputs
Altmetric has tracked 11,073,641 research outputs across all sources so far. This one has received more attention than most of these and is in the 50th percentile.
So far Altmetric has tracked 527 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 13th percentile – i.e., 13% 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 101,047 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 2 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