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A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics

Overview of attention for article published in Probabilistic Engineering Mechanics, October 2004
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

policy
1 policy source
patent
1 patent

Readers on

mendeley
153 Mendeley
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Article details
Title
A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics
Published in
Probabilistic Engineering Mechanics, October 2004
DOI 10.1016/j.probengmech.2004.04.003
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 1%
France 2 1%
Poland 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Unknown 146 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 51 33%
Researcher 18 12%
Student > Master 16 10%
Student > Doctoral Student 12 8%
Professor 11 7%
Other 19 12%
Unknown 26 17%
Readers by discipline
Readers by discipline Count As %
Engineering 92 60%
Mathematics 6 4%
Computer Science 5 3%
Earth and Planetary Sciences 3 2%
Physics and Astronomy 3 2%
Other 14 9%
Unknown 30 20%
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 30 August 2022.
All research outputs
#6,087,335
of 27,783,697 outputs
Outputs from Probabilistic Engineering Mechanics
#4
of 91 outputs
Outputs of similar age
#14,869
of 83,496 outputs
Outputs of similar age from Probabilistic Engineering Mechanics
#1
of 3 outputs
Altmetric has tracked 27,783,697 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 91 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 91% 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 83,496 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 70% of its contemporaries.
We're also able to compare this research output to 3 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