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Information and Self-Organization : A Macroscopic Approach to Complex Systems

Overview of attention for book
Cover of 'Information and Self-Organization : A Macroscopic Approach to Complex Systems'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Challenge of Complex Systems
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    Chapter 2 From the Microscopic to the Macroscopic World ...
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    Chapter 3 ... and Back Again: The Maximum Information Principle (MIP)
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    Chapter 4 An Example from Physics: Thermodynamics
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    Chapter 5 Application of the Maximum Information Principle to Self-Organizing Systems
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    Chapter 6 The Maximum Information Principle for Nonequilibrium Phase Transitions: Determination of Order Parameters, Enslaved Modes, and Emerging Patterns
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    Chapter 7 Information, Information Gain, and Efficiency of Self-Organizing Systems Close to Their Instability Points
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    Chapter 8 Direct Determination of Lagrange Multipliers
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    Chapter 9 Unbiased Modeling of Stochastic Processes: How to Guess Path Integrals, Fokker-Planck Equations and Langevin-Îto Equations
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    Chapter 10 Application to Some Physical Systems
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    Chapter 11 Transitions Between Behavioral Patterns in Biology. An Example: Hand Movements
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    Chapter 12 Pattern Recognition. Unbiased Guesses of Processes: Explicit Determination of Lagrange Multipliers
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    Chapter 13 Information Compression in Cognition: The Interplay between Shannon and Semantic Information
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    Chapter 14 Quantum Systems
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    Chapter 15 Quantum Information
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    Chapter 16 Quantum Computation
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    Chapter 17 Concluding Remarks and Outlook
Overall attention for this book and its chapters
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
4 X users
syllabi
1 institution with syllabi
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
91 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Information and Self-Organization : A Macroscopic Approach to Complex Systems
Published by
ADS, January 2006
DOI 10.1007/3-540-33023-2
ISBNs
978-3-54-033023-3, 978-3-54-033021-9
Authors

Haken, Hermann

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

Geographical breakdown

Country Count As %
Germany 1 3%
Switzerland 1 3%
Unknown 37 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Researcher 6 15%
Student > Master 6 15%
Student > Bachelor 4 10%
Student > Doctoral Student 3 8%
Other 6 15%
Unknown 4 10%
Readers by discipline Count As %
Physics and Astronomy 7 18%
Computer Science 5 13%
Sports and Recreations 4 10%
Engineering 4 10%
Agricultural and Biological Sciences 3 8%
Other 10 26%
Unknown 6 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 August 2022.
All research outputs
#5,550,854
of 25,734,859 outputs
Outputs from ADS
#3,652
of 26,222 outputs
Outputs of similar age
#22,161
of 175,368 outputs
Outputs of similar age from ADS
#47
of 354 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,222 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 well, scoring higher than 82% 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 175,368 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 354 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.