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A case study of memetic algorithms for constraint optimization

Overview of attention for article published in Soft Computing, July 2008
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
32 Mendeley
Title
A case study of memetic algorithms for constraint optimization
Published in
Soft Computing, July 2008
DOI 10.1007/s00500-008-0354-4
Authors

Ender Özcan, Can Başaran

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 3%
Brazil 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 19%
Student > Ph. D. Student 5 16%
Student > Doctoral Student 5 16%
Student > Bachelor 3 9%
Professor 2 6%
Other 7 22%
Unknown 4 13%
Readers by discipline Count As %
Computer Science 17 53%
Engineering 5 16%
Business, Management and Accounting 3 9%
Decision Sciences 1 3%
Unknown 6 19%
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 21 September 2023.
All research outputs
#7,862,539
of 23,839,820 outputs
Outputs from Soft Computing
#93
of 465 outputs
Outputs of similar age
#29,828
of 83,674 outputs
Outputs of similar age from Soft Computing
#1
of 3 outputs
Altmetric has tracked 23,839,820 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 465 research outputs from this source. They receive a mean Attention Score of 3.6. 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 83,674 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 3 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