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A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model

Overview of attention for article published in International Journal of Computer Vision, December 2002
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

patent
10 patents

Citations

dimensions_citation
1997 Dimensions

Readers on

mendeley
584 Mendeley
citeulike
6 CiteULike
Title
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
Published in
International Journal of Computer Vision, December 2002
DOI 10.1023/a:1020874308076
Authors

Luminita A. Vese, Tony F. Chan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 584 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 2%
United Kingdom 6 1%
Germany 4 <1%
China 4 <1%
France 4 <1%
Austria 2 <1%
Switzerland 2 <1%
India 2 <1%
Spain 2 <1%
Other 12 2%
Unknown 534 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 180 31%
Researcher 97 17%
Student > Master 80 14%
Professor > Associate Professor 40 7%
Student > Doctoral Student 39 7%
Other 99 17%
Unknown 49 8%
Readers by discipline Count As %
Computer Science 202 35%
Engineering 151 26%
Mathematics 65 11%
Physics and Astronomy 23 4%
Medicine and Dentistry 18 3%
Other 56 10%
Unknown 69 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 30 December 2021.
All research outputs
#3,798,945
of 25,374,647 outputs
Outputs from International Journal of Computer Vision
#127
of 1,420 outputs
Outputs of similar age
#9,306
of 135,797 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 7 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,420 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 85% 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 135,797 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
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 all of them