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Experimental Methods for the Analysis of Optimization Algorithms

Overview of attention for book
Attention for Chapter 4: Experimental Methods for the Analysis of Optimization Algorithms
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Mentioned by

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1 Google+ user

Citations

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116 Dimensions

Readers on

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14 Mendeley
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Chapter title
Experimental Methods for the Analysis of Optimization Algorithms
Chapter number 4
Book title
Experimental Methods for the Analysis of Optimization Algorithms
Published in
ADS, January 2010
DOI 10.1007/978-3-642-02538-9_4
Book ISBNs
978-3-64-202537-2, 978-3-64-202538-9
Authors

Nicholas G. Hall, Marc E. Posner, Hall, Nicholas G., Posner, Marc E.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 7%
Belgium 1 7%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 43%
Researcher 2 14%
Unspecified 1 7%
Student > Master 1 7%
Unknown 4 29%
Readers by discipline Count As %
Computer Science 5 36%
Engineering 3 21%
Business, Management and Accounting 1 7%
Unspecified 1 7%
Unknown 4 29%
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 02 April 2012.
All research outputs
#15,243,549
of 22,665,794 outputs
Outputs from ADS
#28,157
of 37,270 outputs
Outputs of similar age
#133,997
of 163,496 outputs
Outputs of similar age from ADS
#613
of 793 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,270 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 16th percentile – i.e., 16% 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 163,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 793 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.