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Estimation of Intrinsic Volumes from Digital Grey-Scale Images

Overview of attention for article published in Journal of Mathematical Imaging and Vision, October 2013
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2 X users

Citations

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7 Mendeley
Title
Estimation of Intrinsic Volumes from Digital Grey-Scale Images
Published in
Journal of Mathematical Imaging and Vision, October 2013
DOI 10.1007/s10851-013-0469-9
Authors

Anne Marie Svane

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Postgraduate 2 29%
Professor 1 14%
Student > Master 1 14%
Student > Doctoral Student 1 14%
Other 0 0%
Readers by discipline Count As %
Mathematics 4 57%
Engineering 2 29%
Computer Science 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 September 2013.
All research outputs
#18,347,414
of 22,721,584 outputs
Outputs from Journal of Mathematical Imaging and Vision
#220
of 291 outputs
Outputs of similar age
#158,180
of 211,877 outputs
Outputs of similar age from Journal of Mathematical Imaging and Vision
#2
of 2 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 291 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 17th percentile – i.e., 17% 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 211,877 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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.