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A survey on metaheuristics for stochastic combinatorial optimization

Overview of attention for article published in Natural Computing, September 2008
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About this Attention Score

  • Among the highest-scoring outputs from this source (#39 of 146)

Mentioned by

wikipedia
6 Wikipedia pages

Citations

dimensions_citation
531 Dimensions

Readers on

mendeley
747 Mendeley
citeulike
4 CiteULike
Title
A survey on metaheuristics for stochastic combinatorial optimization
Published in
Natural Computing, September 2008
DOI 10.1007/s11047-008-9098-4
Authors

Leonora Bianchi, Marco Dorigo, Luca Maria Gambardella, Walter J. Gutjahr

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 747 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 8 1%
United Kingdom 7 <1%
Germany 4 <1%
United States 2 <1%
Malaysia 2 <1%
Mexico 2 <1%
Hong Kong 1 <1%
Austria 1 <1%
Slovakia 1 <1%
Other 6 <1%
Unknown 713 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 190 25%
Student > Master 144 19%
Student > Bachelor 69 9%
Researcher 58 8%
Student > Doctoral Student 51 7%
Other 113 15%
Unknown 122 16%
Readers by discipline Count As %
Computer Science 224 30%
Engineering 214 29%
Business, Management and Accounting 36 5%
Mathematics 28 4%
Energy 12 2%
Other 77 10%
Unknown 156 21%
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 09 December 2023.
All research outputs
#7,687,335
of 23,390,392 outputs
Outputs from Natural Computing
#39
of 146 outputs
Outputs of similar age
#32,148
of 88,722 outputs
Outputs of similar age from Natural Computing
#1
of 2 outputs
Altmetric has tracked 23,390,392 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 146 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 59% 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 88,722 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
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