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A Hybrid Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Time Windows

Overview of attention for article published in Computational Optimization and Applications, October 2005
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About this Attention Score

  • Among the highest-scoring outputs from this source (#23 of 338)
  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
179 Dimensions

Readers on

mendeley
105 Mendeley
citeulike
1 CiteULike
Title
A Hybrid Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Time Windows
Published in
Computational Optimization and Applications, October 2005
DOI 10.1007/s10589-005-3070-3
Authors

K. C. Tan, Y. H. Chew, L. H. Lee

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

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Malaysia 1 <1%
Colombia 1 <1%
Brazil 1 <1%
Unknown 101 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 27%
Student > Master 13 12%
Student > Bachelor 10 10%
Researcher 9 9%
Professor > Associate Professor 7 7%
Other 23 22%
Unknown 15 14%
Readers by discipline Count As %
Computer Science 28 27%
Engineering 23 22%
Business, Management and Accounting 15 14%
Mathematics 10 10%
Economics, Econometrics and Finance 4 4%
Other 6 6%
Unknown 19 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 October 2016.
All research outputs
#7,381,450
of 23,854,458 outputs
Outputs from Computational Optimization and Applications
#23
of 338 outputs
Outputs of similar age
#20,321
of 60,221 outputs
Outputs of similar age from Computational Optimization and Applications
#1
of 2 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 338 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done particularly well, scoring higher than 92% 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 60,221 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 65% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them