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Evolutionary Computing

Overview of attention for book
Attention for Chapter: Island model genetic algorithms and linearly separable problems
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1 X user

Readers on

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49 Mendeley
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Chapter title
Island model genetic algorithms and linearly separable problems
Book title
Evolutionary Computing
Published in
Lecture notes in computer science, January 1997
DOI 10.1007/bfb0027170
Book ISBNs
978-3-54-063476-8, 978-3-54-069578-3
Authors

Darrell Whitley, Soraya Rana, Robert B. Heckendorn

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

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Russia 2 4%
Italy 1 2%
Hungary 1 2%
Chile 1 2%
Spain 1 2%
Unknown 41 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 10 20%
Student > Master 10 20%
Student > Bachelor 3 6%
Lecturer 3 6%
Other 11 22%
Unknown 1 2%
Readers by discipline Count As %
Computer Science 19 39%
Agricultural and Biological Sciences 6 12%
Engineering 5 10%
Mathematics 3 6%
Business, Management and Accounting 2 4%
Other 10 20%
Unknown 4 8%
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 16 July 2014.
All research outputs
#18,375,064
of 22,758,963 outputs
Outputs from Lecture notes in computer science
#6,007
of 8,126 outputs
Outputs of similar age
#88,296
of 91,493 outputs
Outputs of similar age from Lecture notes in computer science
#20
of 20 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% 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 91,493 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.