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Multilevel Decomposition Framework for Reliability Assessment of Assembled Stochastic Linear Structural Systems

Overview of attention for article published in ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering, March 2021
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2 X users

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6 Mendeley
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Article details
Title
Multilevel Decomposition Framework for Reliability Assessment of Assembled Stochastic Linear Structural Systems
Published in
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering, March 2021
DOI 10.1061/ajrua6.0001119
Authors

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 2 33%
Student > Ph. D. Student 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline
Readers by discipline Count As %
Engineering 2 33%
Unknown 4 67%
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 27 January 2021.
All research outputs
#23,957,060
of 34,378,656 outputs
Outputs from ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering
#94
of 295 outputs
Outputs of similar age
#303,128
of 480,441 outputs
Outputs of similar age from ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering
#6
of 13 outputs
Altmetric has tracked 34,378,656 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 295 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 63% 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 480,441 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.