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Adaptive-sparse polynomial dimensional decomposition methods for high-dimensional stochastic computing

Overview of attention for article published in Computer Methods in Applied Mechanics & Engineering, June 2014
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Mentioned by

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3 X users

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mendeley
29 Mendeley
citeulike
2 CiteULike
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Article details
Title
Adaptive-sparse polynomial dimensional decomposition methods for high-dimensional stochastic computing
Published in
Computer Methods in Applied Mechanics & Engineering, June 2014
DOI 10.1016/j.cma.2014.01.027
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 29 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 1 3%
Russia 1 3%
Germany 1 3%
Unknown 26 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 48%
Student > Doctoral Student 3 10%
Researcher 3 10%
Professor 2 7%
Professor > Associate Professor 2 7%
Other 3 10%
Unknown 2 7%
Readers by discipline
Readers by discipline Count As %
Engineering 16 55%
Mathematics 3 10%
Arts and Humanities 1 3%
Business, Management and Accounting 1 3%
Computer Science 1 3%
Other 3 10%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 May 2017.
All research outputs
#23,954,363
of 34,377,743 outputs
Outputs from Computer Methods in Applied Mechanics & Engineering
#1,484
of 2,667 outputs
Outputs of similar age
#179,912
of 273,839 outputs
Outputs of similar age from Computer Methods in Applied Mechanics & Engineering
#8
of 12 outputs
Altmetric has tracked 34,377,743 research outputs across all sources so far. This one is in the 29th percentile – i.e., 29% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,667 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 44th percentile – i.e., 44% 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 273,839 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.