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Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images

Overview of attention for article published in Journal of Mathematical Imaging and Vision, July 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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5 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
22 Mendeley
Title
Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images
Published in
Journal of Mathematical Imaging and Vision, July 2016
DOI 10.1007/s10851-016-0678-0
Authors

Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb, Hannah M. Rowland, Arjuna Flenner

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 4 18%
Researcher 3 14%
Student > Ph. D. Student 3 14%
Student > Bachelor 2 9%
Student > Postgraduate 2 9%
Other 1 5%
Unknown 7 32%
Readers by discipline Count As %
Engineering 4 18%
Mathematics 3 14%
Agricultural and Biological Sciences 3 14%
Computer Science 3 14%
Arts and Humanities 1 5%
Other 0 0%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 September 2016.
All research outputs
#15,529,691
of 23,852,579 outputs
Outputs from Journal of Mathematical Imaging and Vision
#157
of 314 outputs
Outputs of similar age
#231,371
of 369,624 outputs
Outputs of similar age from Journal of Mathematical Imaging and Vision
#3
of 5 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 314 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 48th percentile – i.e., 48% 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 369,624 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.