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Application and Theory of Petri Nets and Concurrency

Overview of attention for book
Cover of 'Application and Theory of Petri Nets and Concurrency'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Reasoning About Discovery Clouds
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    Chapter 2 From Actions, Transactions, and Processes to Services
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    Chapter 3 Decidability Border for Petri Nets with Data: WQO Dichotomy Conjecture
  5. Altmetric Badge
    Chapter 4 Characterising Petri Net Solvable Binary Words
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    Chapter 5 The Power of Prime Cycles
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    Chapter 6 Petri Net Synthesis for Restricted Classes of Nets
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    Chapter 7 Renew 2.5 – Towards a Comprehensive Integrated Development Environment for Petri Net-Based Applications
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    Chapter 8 AB-QSSPN: Integration of Agent-Based Simulation of Cellular Populations with Quasi-Steady State Simulation of Genome Scale Intracellular Networks
  10. Altmetric Badge
    Chapter 9 PetriDotNet 1.5: Extensible Petri Net Editor and Analyser for Education and Research
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    Chapter 10 Transforming CPN Models into Code for TinyOS: A Case Study of the RPL Protocol
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    Chapter 11 Realizability of Schedules by Stochastic Time Petri Nets with Blocking Semantics
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    Chapter 12 ABCD: A User-Friendly Language for Formal Modelling and Analysis
  14. Altmetric Badge
    Chapter 13 Application and Theory of Petri Nets and Concurrency
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    Chapter 14 Merging Alignments for Decomposed Replay
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    Chapter 15 Anti-alignments in Conformance Checking – The Dark Side of Process Models
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    Chapter 16 Probabilistic Time Petri Nets
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    Chapter 17 Efficient Decomposition Algorithm for Stationary Analysis of Complex Stochastic Petri Net Models
  19. Altmetric Badge
    Chapter 18 Decidable Classes of Unbounded Petri Nets with Time and Urgency
  20. Altmetric Badge
    Chapter 19 Structural Place Invariants for Analyzing the Behavioral Properties of Nested Petri Nets
Attention for Chapter 13: Application and Theory of Petri Nets and Concurrency
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
4 Mendeley
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Chapter title
Application and Theory of Petri Nets and Concurrency
Chapter number 13
Book title
Application and Theory of Petri Nets and Concurrency
Published in
Lecture notes in computer science, June 2016
DOI 10.1007/978-3-319-39086-4_13
Book ISBNs
978-3-31-939085-7, 978-3-31-939086-4
Authors

Quentin Gaudel, Pauline Ribot, Elodie Chanthery, Matthew J. Daigle

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 50%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 1 25%
Engineering 1 25%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 August 2016.
All research outputs
#4,191,741
of 22,881,964 outputs
Outputs from Lecture notes in computer science
#989
of 8,129 outputs
Outputs of similar age
#74,813
of 353,832 outputs
Outputs of similar age from Lecture notes in computer science
#31
of 354 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. 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 353,832 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 77% 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 80% of its contemporaries.