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An iterated local search for a multi‐period orienteering problem arising in a car patrolling application

Overview of attention for article published in Networks, September 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
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Title
An iterated local search for a multi‐period orienteering problem arising in a car patrolling application
Published in
Networks, September 2023
DOI 10.1002/net.22187
Authors

Victor Hugo Vidigal Corrêa, Hang Dong, Manuel Iori, André Gustavo dos Santos, Mutsunori Yagiura, Giorgio Zucchi

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Other 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%
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 04 October 2023.
All research outputs
#19,305,145
of 24,579,513 outputs
Outputs from Networks
#223
of 349 outputs
Outputs of similar age
#163,581
of 247,332 outputs
Outputs of similar age from Networks
#5
of 5 outputs
Altmetric has tracked 24,579,513 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 349 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 28th percentile – i.e., 28% 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 247,332 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 5 others from the same source and published within six weeks on either side of this one.