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An efficient parallel genetic algorithm solution for vehicle routing problem in cloud implementation of the intelligent transportation systems

Overview of attention for article published in Journal of Cloud Computing, February 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
93 Dimensions

Readers on

mendeley
137 Mendeley
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Title
An efficient parallel genetic algorithm solution for vehicle routing problem in cloud implementation of the intelligent transportation systems
Published in
Journal of Cloud Computing, February 2020
DOI 10.1186/s13677-020-0157-4
Authors

Mahdi Abbasi, Milad Rafiee, Mohammad R. Khosravi, Alireza Jolfaei, Varun G. Menon, Javad Mokhtari Koushyar

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

Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 12%
Student > Bachelor 14 10%
Student > Ph. D. Student 10 7%
Student > Doctoral Student 7 5%
Professor 6 4%
Other 25 18%
Unknown 58 42%
Readers by discipline Count As %
Computer Science 38 28%
Engineering 19 14%
Business, Management and Accounting 5 4%
Mathematics 4 3%
Decision Sciences 2 1%
Other 7 5%
Unknown 62 45%
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 10 November 2021.
All research outputs
#14,472,378
of 23,191,112 outputs
Outputs from Journal of Cloud Computing
#65
of 256 outputs
Outputs of similar age
#239,632
of 449,966 outputs
Outputs of similar age from Journal of Cloud Computing
#2
of 18 outputs
Altmetric has tracked 23,191,112 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 256 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 67% 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 449,966 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.