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Add Isotropic Gaussian Kernels at Own Risk: More and More Resilient Modes in Higher Dimensions

Overview of attention for article published in Discrete & Computational Geometry, June 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
13 Mendeley
Title
Add Isotropic Gaussian Kernels at Own Risk: More and More Resilient Modes in Higher Dimensions
Published in
Discrete & Computational Geometry, June 2013
DOI 10.1007/s00454-013-9517-x
Authors

Herbert Edelsbrunner, Brittany Terese Fasy, Günter Rote

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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
United States 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Ph. D. Student 3 23%
Student > Master 2 15%
Student > Doctoral Student 1 8%
Professor 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 7 54%
Mathematics 4 31%
Engineering 1 8%
Unknown 1 8%
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 26 February 2016.
All research outputs
#18,444,553
of 22,852,911 outputs
Outputs from Discrete & Computational Geometry
#403
of 482 outputs
Outputs of similar age
#148,448
of 197,602 outputs
Outputs of similar age from Discrete & Computational Geometry
#3
of 6 outputs
Altmetric has tracked 22,852,911 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 482 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 9th percentile – i.e., 9% 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 197,602 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.