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Information Theory in Computer Vision and Pattern Recognition

Overview of attention for book
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
91 Mendeley
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Title
Information Theory in Computer Vision and Pattern Recognition
Published by
ADS, July 2009
DOI 10.1007/978-1-84882-297-9
ISBNs
978-1-84882-296-2, 978-1-84882-297-9
Authors

Escolano, Francisco, Suau, Pablo, Bonev, Boyán

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Mexico 2 2%
Australia 1 1%
Brazil 1 1%
United Kingdom 1 1%
Germany 1 1%
Denmark 1 1%
Malaysia 1 1%
Spain 1 1%
Other 1 1%
Unknown 77 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 27%
Student > Master 15 16%
Researcher 10 11%
Student > Bachelor 9 10%
Other 8 9%
Other 18 20%
Unknown 6 7%
Readers by discipline Count As %
Computer Science 34 37%
Engineering 20 22%
Earth and Planetary Sciences 4 4%
Physics and Astronomy 4 4%
Mathematics 4 4%
Other 16 18%
Unknown 9 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 September 2020.
All research outputs
#6,499,267
of 23,041,514 outputs
Outputs from ADS
#8,108
of 37,451 outputs
Outputs of similar age
#33,050
of 110,847 outputs
Outputs of similar age from ADS
#92
of 329 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 76% 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 110,847 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 68% of its contemporaries.
We're also able to compare this research output to 329 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.