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Application and Theory of Petri Nets

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Net Models for Concurrent Object Behaviour
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    Chapter 2 The Theory of WSTS: The Case of Complete WSTS
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    Chapter 3 Using Colored Petri Nets to Construct Coalescent Hidden Markov Models: Automatic Translation from Demographic Specifications to Efficient Inference Methods
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    Chapter 4 An SMT-Based Discovery Algorithm for C-Nets
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    Chapter 5 Decomposing Process Mining Problems Using Passages
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    Chapter 6 Complexity of the Soundness Problem of Bounded Workflow Nets
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    Chapter 7 Cost Soundness for Priced Resource-Constrained Workflow Nets
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    Chapter 8 On the α -Reconstructibility of Workflow Nets
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    Chapter 9 On Profiles and Footprints – Relational Semantics for Petri Nets
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    Chapter 10 Data and Abstraction for Scenario-Based Modeling with Petri Nets
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    Chapter 11 Maximal Confluent Processes
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    Chapter 12 Old and New Algorithms for Minimal Coverability Sets
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    Chapter 13 Stubborn Sets for Simple Linear Time Properties
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    Chapter 14 Hybrid On-the-Fly LTL Model Checking with the Sweep-Line Method
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    Chapter 15 Safety Slicing Petri Nets
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    Chapter 16 Capacity Planning for Vertical Search Engines: An Approach Based on Coloured Petri Nets
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    Chapter 17 An Infrastructure for Cost-Effective Testing of Operational Support Algorithms Based on Colored Petri Nets
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    Chapter 18 Designing Weakly Terminating ROS Systems
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    Chapter 19 Nets-within-Nets to Model Innovative Space System Architectures
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    Chapter 20 P- and T-Systems in the Nets-within-Nets-Formalism
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    Chapter 21 Stochastic Modeling and Analysis Using QPME: Queueing Petri Net Modeling Environment v2.0
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    Chapter 22 Snoopy – A Unifying Petri Net Tool
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    Chapter 23 CPN Assistant II: A Tool for Management of Networked Simulations
Attention for Chapter 3: Using Colored Petri Nets to Construct Coalescent Hidden Markov Models: Automatic Translation from Demographic Specifications to Efficient Inference Methods
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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

blogs
1 blog

Citations

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2 Dimensions

Readers on

mendeley
7 Mendeley
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Chapter title
Using Colored Petri Nets to Construct Coalescent Hidden Markov Models: Automatic Translation from Demographic Specifications to Efficient Inference Methods
Chapter number 3
Book title
Application and Theory of Petri Nets
Published in
Lecture notes in computer science, June 2012
DOI 10.1007/978-3-642-31131-4_3
Book ISBNs
978-3-64-231130-7, 978-3-64-231131-4
Authors

Thomas Mailund, Anders E. Halager, Michael Westergaard

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Master 2 29%
Student > Doctoral Student 2 29%
Student > Bachelor 1 14%
Readers by discipline Count As %
Computer Science 3 43%
Agricultural and Biological Sciences 2 29%
Business, Management and Accounting 1 14%
Engineering 1 14%
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 21 December 2012.
All research outputs
#5,459,038
of 22,842,950 outputs
Outputs from Lecture notes in computer science
#1,697
of 8,126 outputs
Outputs of similar age
#37,764
of 164,646 outputs
Outputs of similar age from Lecture notes in computer science
#12
of 60 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 79% 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 164,646 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 60 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.