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Efficient Algorithms for Stochastic Ride-Pooling Assignment with Mixed Fleets

Overview of attention for article published in Transportation Science, July 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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7 Mendeley
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Title
Efficient Algorithms for Stochastic Ride-Pooling Assignment with Mixed Fleets
Published in
Transportation Science, July 2023
DOI 10.1287/trsc.2021.0349
Authors

Qi Luo, Viswanath Nagarajan, Alexander Sundt, Yafeng Yin, John Vincent, Mehrdad Shahabi

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Lecturer 1 14%
Other 1 14%
Unknown 2 29%
Readers by discipline Count As %
Engineering 4 57%
Economics, Econometrics and Finance 1 14%
Unknown 2 29%
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 24 June 2023.
All research outputs
#17,280,338
of 25,363,685 outputs
Outputs from Transportation Science
#322
of 510 outputs
Outputs of similar age
#207,117
of 360,558 outputs
Outputs of similar age from Transportation Science
#2
of 3 outputs
Altmetric has tracked 25,363,685 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 510 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 21st percentile – i.e., 21% 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 360,558 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.