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Memetic Algorithms for Parallel Code Optimization

Overview of attention for article published in International Journal of Parallel Programming, December 2006
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About this Attention Score

  • Among the highest-scoring outputs from this source (#29 of 170)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
13 Mendeley
Title
Memetic Algorithms for Parallel Code Optimization
Published in
International Journal of Parallel Programming, December 2006
DOI 10.1007/s10766-006-0026-x
Authors

Ender Özcan, Esin Onbaşioğlu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 8%
Slovenia 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Researcher 2 15%
Student > Master 2 15%
Lecturer 1 8%
Lecturer > Senior Lecturer 1 8%
Other 0 0%
Unknown 5 38%
Readers by discipline Count As %
Computer Science 5 38%
Engineering 2 15%
Linguistics 1 8%
Unknown 5 38%
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
#7,453,350
of 22,786,087 outputs
Outputs from International Journal of Parallel Programming
#29
of 170 outputs
Outputs of similar age
#41,488
of 155,687 outputs
Outputs of similar age from International Journal of Parallel Programming
#1
of 1 outputs
Altmetric has tracked 22,786,087 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 170 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 24th percentile – i.e., 24% 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 155,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
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