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Algorithms for non-linear and stochastic resource constrained shortest path

Overview of attention for article published in Mathematical Methods of Operations Research, September 2018
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Mentioned by

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1 X user

Citations

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11 Dimensions

Readers on

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14 Mendeley
Title
Algorithms for non-linear and stochastic resource constrained shortest path
Published in
Mathematical Methods of Operations Research, September 2018
DOI 10.1007/s00186-018-0649-x
Authors

Axel Parmentier

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Student > Master 3 21%
Researcher 2 14%
Professor 1 7%
Student > Bachelor 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Computer Science 5 36%
Mathematics 1 7%
Business, Management and Accounting 1 7%
Engineering 1 7%
Unknown 6 43%
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 02 June 2019.
All research outputs
#18,683,314
of 23,149,216 outputs
Outputs from Mathematical Methods of Operations Research
#46
of 80 outputs
Outputs of similar age
#261,174
of 341,146 outputs
Outputs of similar age from Mathematical Methods of Operations Research
#2
of 2 outputs
Altmetric has tracked 23,149,216 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 80 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 27th percentile – i.e., 27% 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 341,146 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.