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Theory of Evolutionary Computation

Overview of attention for book
Attention for Chapter 4: Parameterized Complexity Analysis of Randomized Search Heuristics
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1 X user

Citations

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2 Mendeley
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Chapter title
Parameterized Complexity Analysis of Randomized Search Heuristics
Chapter number 4
Book title
Theory of Evolutionary Computation
Published in
arXiv, January 2020
DOI 10.1007/978-3-030-29414-4_4
Book ISBNs
978-3-03-029413-7, 978-3-03-029414-4
Authors

Frank Neumann, Andrew M. Sutton, Neumann, Frank, Sutton, Andrew M.

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Other 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Computer Science 1 50%
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 January 2020.
All research outputs
#20,590,073
of 23,175,240 outputs
Outputs from arXiv
#681,480
of 954,218 outputs
Outputs of similar age
#381,833
of 457,129 outputs
Outputs of similar age from arXiv
#18,699
of 27,860 outputs
Altmetric has tracked 23,175,240 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 954,218 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 457,129 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 27,860 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.