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Improving passengers’ attitudes toward safety and unreliable train operations: analysis of a mathematical model of fractional order

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, February 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
2 X users

Citations

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2 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Improving passengers’ attitudes toward safety and unreliable train operations: analysis of a mathematical model of fractional order
Published in
Frontiers in Applied Mathematics and Statistics, February 2024
DOI 10.3389/fams.2024.1290494
Authors

Gizachew Kefelew Hailu, Shewafera Wondimagegnhu Teklu

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Mathematics 1 100%
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 08 March 2024.
All research outputs
#16,636,403
of 25,452,734 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#136
of 394 outputs
Outputs of similar age
#98,567
of 208,815 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#3
of 14 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 394 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 64% 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 208,815 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 52% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.