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Mitigating Train Derailments Due to Sharp Curve and Overspeed

Overview of attention for article published in Frontiers in Mechanical Engineering, August 2018
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1 X user

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19 Mendeley
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Title
Mitigating Train Derailments Due to Sharp Curve and Overspeed
Published in
Frontiers in Mechanical Engineering, August 2018
DOI 10.3389/fmech.2018.00008
Authors

Yan Q. Sun

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Doctoral Student 3 16%
Unspecified 1 5%
Other 1 5%
Lecturer 1 5%
Other 2 11%
Unknown 7 37%
Readers by discipline Count As %
Engineering 6 32%
Computer Science 1 5%
Unspecified 1 5%
Medicine and Dentistry 1 5%
Social Sciences 1 5%
Other 0 0%
Unknown 9 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 December 2018.
All research outputs
#18,646,262
of 23,099,576 outputs
Outputs from Frontiers in Mechanical Engineering
#253
of 505 outputs
Outputs of similar age
#254,706
of 331,095 outputs
Outputs of similar age from Frontiers in Mechanical Engineering
#4
of 7 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 505 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 331,095 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.