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Experimental Methods for the Analysis of Optimization Algorithms

Overview of attention for book
Overall attention for this book and its chapters
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Mentioned by

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2 Google+ users

Citations

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116 Dimensions

Readers on

mendeley
155 Mendeley
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Title
Experimental Methods for the Analysis of Optimization Algorithms
Published by
ADS, January 2010
DOI 10.1007/978-3-642-02538-9
ISBNs
978-3-64-202537-2, 978-3-64-202538-9, 978-3-64-244590-3
Editors

Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete, Mike Preuss

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Brazil 2 1%
Turkey 1 <1%
Cuba 1 <1%
United Kingdom 1 <1%
Belgium 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 145 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 30%
Student > Master 25 16%
Researcher 15 10%
Professor 11 7%
Student > Doctoral Student 9 6%
Other 29 19%
Unknown 19 12%
Readers by discipline Count As %
Computer Science 67 43%
Engineering 30 19%
Business, Management and Accounting 8 5%
Mathematics 8 5%
Economics, Econometrics and Finance 3 2%
Other 14 9%
Unknown 25 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 June 2018.
All research outputs
#14,723,952
of 24,692,658 outputs
Outputs from ADS
#27,144
of 37,209 outputs
Outputs of similar age
#139,005
of 173,202 outputs
Outputs of similar age from ADS
#603
of 805 outputs
Altmetric has tracked 24,692,658 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,209 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 26th percentile – i.e., 26% 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 173,202 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 805 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.