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A Theoretical and Computational Framework for Isometry Invariant Recognition of Point Cloud Data

Overview of attention for article published in Foundations of Computational Mathematics, June 2005
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About this Attention Score

  • Among the highest-scoring outputs from this source (#24 of 231)
  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
218 Dimensions

Readers on

mendeley
118 Mendeley
citeulike
1 CiteULike
Title
A Theoretical and Computational Framework for Isometry Invariant Recognition of Point Cloud Data
Published in
Foundations of Computational Mathematics, June 2005
DOI 10.1007/s10208-004-0145-y
Authors

Facundo Mémoli, Guillermo Sapiro

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

Geographical breakdown

Country Count As %
United States 4 3%
Germany 3 3%
India 1 <1%
Chile 1 <1%
Japan 1 <1%
Poland 1 <1%
Unknown 107 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 24%
Researcher 21 18%
Student > Master 16 14%
Professor 8 7%
Lecturer 5 4%
Other 22 19%
Unknown 18 15%
Readers by discipline Count As %
Computer Science 44 37%
Engineering 26 22%
Mathematics 13 11%
Physics and Astronomy 7 6%
Chemistry 2 2%
Other 5 4%
Unknown 21 18%
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 18 October 2018.
All research outputs
#6,431,965
of 22,851,489 outputs
Outputs from Foundations of Computational Mathematics
#24
of 231 outputs
Outputs of similar age
#17,765
of 56,277 outputs
Outputs of similar age from Foundations of Computational Mathematics
#1
of 1 outputs
Altmetric has tracked 22,851,489 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 231 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 89% 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 56,277 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 66% of its contemporaries.
We're also able to compare this research output to 1 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