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Modular Bayesian damage detection for complex civil infrastructure

Overview of attention for article published in Journal of Civil Structural Health Monitoring, February 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
32 Mendeley
Title
Modular Bayesian damage detection for complex civil infrastructure
Published in
Journal of Civil Structural Health Monitoring, February 2019
DOI 10.1007/s13349-018-00321-8
Authors

Andre Jesus, Peter Brommer, Robert Westgate, Ki Koo, James Brownjohn, Irwanda Laory

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 16%
Student > Ph. D. Student 5 16%
Student > Master 3 9%
Researcher 2 6%
Professor 1 3%
Other 3 9%
Unknown 13 41%
Readers by discipline Count As %
Engineering 17 53%
Agricultural and Biological Sciences 1 3%
Unknown 14 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 February 2019.
All research outputs
#13,283,817
of 23,128,387 outputs
Outputs from Journal of Civil Structural Health Monitoring
#26
of 53 outputs
Outputs of similar age
#207,238
of 437,733 outputs
Outputs of similar age from Journal of Civil Structural Health Monitoring
#1
of 1 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 53 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 50% 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 437,733 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 51% 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