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A case study of memetic algorithms for constraint optimization

Overview of attention for article published in Soft Computing - A Fusion of Foundations, Methodologies & Applications, July 2008
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About this Attention Score

  • Among the highest-scoring outputs from this source (#22 of 196)
  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
21 Dimensions

Readers on

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

Ender Özcan, Can Başaran

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 4%
Turkey 1 4%
Unknown 23 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Student > Master 4 16%
Student > Doctoral Student 4 16%
Student > Bachelor 3 12%
Professor > Associate Professor 2 8%
Other 7 28%
Readers by discipline Count As %
Computer Science 15 60%
Engineering 4 16%
Business, Management and Accounting 3 12%
Unspecified 3 12%

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 14 February 2011.
All research outputs
#3,563,683
of 12,353,817 outputs
Outputs from Soft Computing - A Fusion of Foundations, Methodologies & Applications
#22
of 196 outputs
Outputs of similar age
#78,202
of 265,063 outputs
Outputs of similar age from Soft Computing - A Fusion of Foundations, Methodologies & Applications
#1
of 1 outputs
Altmetric has tracked 12,353,817 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 196 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 67% 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 265,063 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 66% of its contemporaries.
We're also able to compare this research output to 1 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