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A Puzzle-Based Genetic Algorithm with Block Mining and Recombination Heuristic for the Traveling Salesman Problem

Overview of attention for article published in Journal of Computer Science and Technology, November 2012
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1 X user

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12 Mendeley
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Title
A Puzzle-Based Genetic Algorithm with Block Mining and Recombination Heuristic for the Traveling Salesman Problem
Published in
Journal of Computer Science and Technology, November 2012
DOI 10.1007/s11390-012-1275-3
Authors

Pei-Chann Chang, Wei-Hsiu Huang, Zhen-Zhen Zhang

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 25%
Student > Ph. D. Student 3 25%
Student > Master 2 17%
Professor 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Computer Science 4 33%
Business, Management and Accounting 2 17%
Mathematics 1 8%
Engineering 1 8%
Unknown 4 33%
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 29 April 2018.
All research outputs
#19,440,618
of 23,911,072 outputs
Outputs from Journal of Computer Science and Technology
#219
of 230 outputs
Outputs of similar age
#141,905
of 184,995 outputs
Outputs of similar age from Journal of Computer Science and Technology
#6
of 7 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 230 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 3rd percentile – i.e., 3% 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 184,995 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.