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Influence of multi-layer laser cladding depositions and rail curvature on residual stress in light rail components

Overview of attention for article published in Engineering Failure Analysis, August 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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8 X users

Citations

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5 Dimensions

Readers on

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10 Mendeley
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Title
Influence of multi-layer laser cladding depositions and rail curvature on residual stress in light rail components
Published in
Engineering Failure Analysis, August 2023
DOI 10.1016/j.engfailanal.2023.107330
Authors

Olivia Kendall, Ralph Abrahams, Anna Paradowska, Mark Reid, Cong Qiu, Peter Mutton, Thomas Schläfer, Wenyi Yan

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Unspecified 1 10%
Researcher 1 10%
Unknown 6 60%
Readers by discipline Count As %
Engineering 2 20%
Arts and Humanities 1 10%
Unknown 7 70%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 May 2023.
All research outputs
#7,126,968
of 25,394,764 outputs
Outputs from Engineering Failure Analysis
#56
of 370 outputs
Outputs of similar age
#106,817
of 358,370 outputs
Outputs of similar age from Engineering Failure Analysis
#1
of 10 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 370 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 84% 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 358,370 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 10 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