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Hybrid metaheuristics for stochastic constraint programming

Overview of attention for article published in Constraints, August 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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2 Dimensions

Readers on

mendeley
18 Mendeley
citeulike
1 CiteULike
Title
Hybrid metaheuristics for stochastic constraint programming
Published in
Constraints, August 2014
DOI 10.1007/s10601-014-9170-x
Authors

S. D. Prestwich, S. A. Tarim, R. Rossi, B. Hnich

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

Geographical breakdown

Country Count As %
Spain 1 6%
Belgium 1 6%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Professor > Associate Professor 3 17%
Professor 2 11%
Student > Doctoral Student 2 11%
Student > Master 1 6%
Other 1 6%
Unknown 3 17%
Readers by discipline Count As %
Computer Science 6 33%
Business, Management and Accounting 3 17%
Engineering 2 11%
Decision Sciences 1 6%
Mathematics 1 6%
Other 0 0%
Unknown 5 28%
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 19 January 2015.
All research outputs
#15,315,142
of 22,778,347 outputs
Outputs from Constraints
#56
of 105 outputs
Outputs of similar age
#136,258
of 235,592 outputs
Outputs of similar age from Constraints
#4
of 6 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 105 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 7th percentile – i.e., 7% 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 235,592 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.