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Membrane Computing

Overview of attention for book
Cover of 'Membrane Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Membrane Computing at Twelve Years
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    Chapter 2 Testing Based on P Systems – An Overview
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    Chapter 3 Mobility in Computer Science and in Membrane Systems
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    Chapter 4 Organization Oriented Chemical Computing
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    Chapter 5 Cellular Automata and the Quest for Nontrivial Artificial Self-Reproduction
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    Chapter 6 An Algorithmic Approach to Tilings of Hyperbolic Spaces: 10 Years Later
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    Chapter 7 Flattening the Transition P Systems with Dissolution
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    Chapter 8 The Family of Languages Generated by Non-cooperative Membrane Systems
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    Chapter 9 Polymorphic P Systems
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    Chapter 10 A Small Universal Splicing P System
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    Chapter 11 Membrane Systems Working in Generating and Accepting Modes: Expressiveness and Encodings
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    Chapter 12 BioSimWare: A Software for the Modeling, Simulation and Analysis of Biological Systems
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    Chapter 13 Modeling Population Growth of Pyrenean Chamois (Rupicapra p. pyrenaica) by Using P-Systems
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    Chapter 14 On Generalized Communicating P Systems with One Symbol
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    Chapter 15 A Faster P Solution for the Byzantine Agreement Problem
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    Chapter 16 Computationally Complete Spiking Neural P Systems without Delay: Two Types of Neurons Are Enough
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    Chapter 17 P Systems and Unique-Sum Sets
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    Chapter 18 An Integrated Approach to P Systems Formal Verification
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    Chapter 19 Using the SRSim Software for Spatial and Rule-Based Modeling of Combinatorially Complex Biochemical Reaction Systems
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    Chapter 20 Depth-First Search with P Systems
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    Chapter 21 Towards Modelling of Reactive, Goal-Oriented and Hybrid Intelligent Agents Using P Systems
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    Chapter 22 Goldbeter’s Mitotic Oscillator Entirely Modeled by MP Systems
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    Chapter 23 Modelling Spatial Heterogeneity and Macromolecular Crowding with Membrane Systems
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    Chapter 24 Randomized Gandy-Păun-Rozenberg Machines
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    Chapter 25 Feasibility of Organizations – A Refinement of Chemical Organization Theory with Application to P Systems
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    Chapter 26 P Systems with Elementary Active Membranes: Beyond NP and coNP
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    Chapter 27 Polynomial Complexity Classes in Spiking Neural P Systems
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    Chapter 28 Spiking Neural P Systems with Neuron Division
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    Chapter 29 Matrix Representation of Spiking Neural P Systems
Overall attention for this book and its chapters
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

1 Wikipedia page


3 Dimensions

Readers on

1 Mendeley
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Membrane Computing
Published by
ADS, January 2010
DOI 10.1007/978-3-642-18123-8
978-3-64-218122-1, 978-3-64-218123-8

Marian Gheorghe, Thomas Hinze, Gheorghe Păun, Grzegorz Rozenberg, Arto Salomaa

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Professor > Associate Professor 1 100%
Researcher 1 100%
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 3 300%
Agricultural and Biological Sciences 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 December 2020.
All research outputs
of 19,839,988 outputs
Outputs from ADS
of 36,071 outputs
Outputs of similar age
of 389,995 outputs
Outputs of similar age from ADS
of 948 outputs
Altmetric has tracked 19,839,988 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 36,071 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 30th percentile – i.e., 30% 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 389,995 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 948 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.