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A new concept of probability metric and its applications in approximation of scattered data sets

Overview of attention for article published in Computational Mechanics, December 2003
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 301)
  • High Attention Score compared to outputs of the same age (81st percentile)

Mentioned by

patent
34 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
54 Mendeley
Title
A new concept of probability metric and its applications in approximation of scattered data sets
Published in
Computational Mechanics, December 2003
DOI 10.1007/s00466-003-0532-2
Authors

S. Łukaszyk

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Brazil 1 2%
Canada 1 2%
Spain 1 2%
United States 1 2%
Unknown 49 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 41%
Researcher 14 26%
Student > Master 5 9%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 5 9%
Unknown 2 4%
Readers by discipline Count As %
Engineering 22 41%
Mathematics 6 11%
Computer Science 5 9%
Earth and Planetary Sciences 4 7%
Physics and Astronomy 2 4%
Other 9 17%
Unknown 6 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 March 2024.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from Computational Mechanics
#26
of 301 outputs
Outputs of similar age
#16,933
of 143,919 outputs
Outputs of similar age from Computational Mechanics
#1
of 4 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 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 301 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 88% 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 143,919 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 4 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