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Numerical Study on Dynamic Programming Applied to Optimization of Running Profile of a Train

Overview of attention for article published in ADS, January 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
3 X users
patent
2 patents

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Numerical Study on Dynamic Programming Applied to Optimization of Running Profile of a Train
Published in
ADS, January 2005
DOI 10.1541/ieejias.125.1084
Authors

Hideyoshi Ko, Takafumi Koseki, Masafumi Miyatake

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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Student > Bachelor 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Engineering 3 75%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 September 2021.
All research outputs
#5,547,390
of 23,065,445 outputs
Outputs from ADS
#7,013
of 37,463 outputs
Outputs of similar age
#26,227
of 140,442 outputs
Outputs of similar age from ADS
#51
of 313 outputs
Altmetric has tracked 23,065,445 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,463 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 81% 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 140,442 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 313 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.