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Unconventional Computation and Natural Computation

Overview of attention for book
Cover of 'Unconventional Computation and Natural Computation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Holy Grail: Finding the Genetic Bases of Phenotypic Characters
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    Chapter 2 Inductive Complexity of P versus NP Problem
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    Chapter 3 Advances in Embryomorphic Engineering
  5. Altmetric Badge
    Chapter 4 Reasoning As Though
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    Chapter 5 Universality and the Halting Problem for Cellular Automata in Hyperbolic Spaces: The Side of the Halting Problem
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    Chapter 6 An Introduction to Tile-Based Self-assembly
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    Chapter 7 Spatial Computing in MGS
  9. Altmetric Badge
    Chapter 8 Unconventional Computation and Natural Computation
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    Chapter 9 P Systems with Minimal Left and Right Insertion and Deletion
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    Chapter 10 Lower Bounds on the Complexity of the Wavelength-Based Machine
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    Chapter 11 String Matching with Involutions
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    Chapter 12 Distributed Execution of Automata Networks on a Computing Medium: Introducing IfAny Machines
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    Chapter 13 Symbol Representations in Evolving Droplet Computers
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    Chapter 14 Inductive Complexity of Goodstein’s Theorem
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    Chapter 15 Towards a Biomolecular Learning Machine
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    Chapter 16 Tractional Motion Machines: Tangent-Managing Planar Mechanisms as Analog Computers and Educational Artifacts
  18. Altmetric Badge
    Chapter 17 Computing with Sand: On the Complexity of Recognizing Two-dimensional Sandpile Critical Configurations
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    Chapter 18 Genome Parameters as Information to Forecast Emergent Developmental Behaviors
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    Chapter 19 Heterotic Computing Examples with Optics, Bacteria, and Chemicals
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    Chapter 20 Reliable Node Placement in Wireless Sensor Networks Using Cellular Automata
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    Chapter 21 Robust Evaluation of Expressions by Distributed Virtual Machines
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    Chapter 22 Numerical Evaluation of the Average Number of Successive Guesses
  24. Altmetric Badge
    Chapter 23 Discrete Discs and Broadcasting Sequences
  25. Altmetric Badge
    Chapter 24 Optical Analog Feedback in Euglena-Based Neural Network Computing
  26. Altmetric Badge
    Chapter 25 Unconventional Computation and Natural Computation
  27. Altmetric Badge
    Chapter 26 Towards a Theory of Self-constructing Automata
  28. Altmetric Badge
    Chapter 27 Flower Pollination Algorithm for Global Optimization
Attention for Chapter 27: Flower Pollination Algorithm for Global Optimization
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
4 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
442 Mendeley
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Chapter title
Flower Pollination Algorithm for Global Optimization
Chapter number 27
Book title
Unconventional Computation and Natural Computation
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-32894-7_27
Book ISBNs
978-3-64-232893-0, 978-3-64-232894-7
Authors

Xin-She Yang, Yang, Xin-She

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 442 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Pakistan 1 <1%
Unknown 441 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 78 18%
Student > Master 58 13%
Student > Bachelor 39 9%
Researcher 27 6%
Lecturer 27 6%
Other 90 20%
Unknown 123 28%
Readers by discipline Count As %
Engineering 145 33%
Computer Science 97 22%
Energy 8 2%
Agricultural and Biological Sciences 6 1%
Mathematics 6 1%
Other 26 6%
Unknown 154 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 05 July 2023.
All research outputs
#1,450,635
of 24,010,679 outputs
Outputs from Lecture notes in computer science
#220
of 8,172 outputs
Outputs of similar age
#9,971
of 250,628 outputs
Outputs of similar age from Lecture notes in computer science
#9
of 488 outputs
Altmetric has tracked 24,010,679 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,172 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% of its peers.
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 250,628 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 488 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.