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A multi-space sampling heuristic for the vehicle routing problem with stochastic demands

Overview of attention for article published in Optimization Letters, September 2012
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About this Attention Score

  • Among the highest-scoring outputs from this source (#36 of 430)
  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
3 X users

Citations

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41 Dimensions

Readers on

mendeley
44 Mendeley
Title
A multi-space sampling heuristic for the vehicle routing problem with stochastic demands
Published in
Optimization Letters, September 2012
DOI 10.1007/s11590-012-0555-8
Authors

Jorge E. Mendoza, Juan G. Villegas

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Malaysia 1 2%
Spain 1 2%
France 1 2%
Unknown 40 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 23%
Student > Ph. D. Student 10 23%
Student > Doctoral Student 6 14%
Student > Bachelor 4 9%
Professor > Associate Professor 3 7%
Other 4 9%
Unknown 7 16%
Readers by discipline Count As %
Engineering 13 30%
Computer Science 9 20%
Business, Management and Accounting 6 14%
Mathematics 1 2%
Materials Science 1 2%
Other 1 2%
Unknown 13 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 October 2017.
All research outputs
#13,337,291
of 22,807,037 outputs
Outputs from Optimization Letters
#36
of 430 outputs
Outputs of similar age
#92,151
of 170,740 outputs
Outputs of similar age from Optimization Letters
#1
of 8 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 430 research outputs from this source. They receive a mean Attention Score of 1.0. 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 170,740 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 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