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Genetic algorithm and a double-chromosome implementation to the traveling salesman problem

Overview of attention for article published in SN Applied Sciences, October 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
20 Mendeley
Title
Genetic algorithm and a double-chromosome implementation to the traveling salesman problem
Published in
SN Applied Sciences, October 2019
DOI 10.1007/s42452-019-1469-1
Authors

Amin Riazi

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

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 15%
Student > Master 3 15%
Student > Ph. D. Student 3 15%
Lecturer 1 5%
Other 1 5%
Other 0 0%
Unknown 9 45%
Readers by discipline Count As %
Engineering 5 25%
Computer Science 4 20%
Social Sciences 1 5%
Unknown 10 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 December 2019.
All research outputs
#6,401,596
of 23,168,000 outputs
Outputs from SN Applied Sciences
#114
of 1,369 outputs
Outputs of similar age
#117,232
of 354,268 outputs
Outputs of similar age from SN Applied Sciences
#12
of 132 outputs
Altmetric has tracked 23,168,000 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,369 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 91% 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 354,268 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.