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Transactions on Petri Nets and Other Models of Concurrency XI

Overview of attention for book
Cover of 'Transactions on Petri Nets and Other Models of Concurrency XI'

Table of Contents

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    Book Overview
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    Chapter 1 Pragmatics Annotated Coloured Petri Nets for Protocol Software Generation and Verification
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    Chapter 2 A Petri Net-Based Approach to Model and Analyze the Management of Cloud Applications
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    Chapter 3 Non-interference Notions Based on Reveals and Excludes Relations for Petri Nets
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    Chapter 4 Validating DCCP Simultaneous Feature Negotiation Procedure
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    Chapter 5 Integrating Petri Net Semantics in a Model-Driven Approach: The Renew Meta-Modeling and Transformation Framework
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    Chapter 6 Mining Conditional Partial Order Graphs from Event Logs
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    Chapter 7 Conditions for Petri Net Solvable Binary Words
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    Chapter 8 Self-tracking Reloaded: Applying Process Mining to Personalized Health Care from Labeled Sensor Data
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    Chapter 9 A Method for Assessing Parameter Impact on Control-Flow Discovery Algorithms
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    Chapter 10 Negotiations and Petri Nets
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    Chapter 11 A Formal Framework for Diagnostic Analysis for Errors of Business Processes
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    Chapter 12 MCC’2015 – The Fifth Model Checking Contest
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    Chapter 13 Running LoLA 2.0 in a Model Checking Competition
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    Chapter 14 MARCIE’s Secrets of Efficient Model Checking
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    Chapter 15 A Symbolic Model Checker for Petri Nets: pnmc
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    Chapter 16 TAPAAL and Reachability Analysis of P/T Nets
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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

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3 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Transactions on Petri Nets and Other Models of Concurrency XI
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-662-53401-4
ISBNs
978-3-66-253400-7, 978-3-66-253401-4
Editors

Maciej Koutny, Jörg Desel, Jetty Kleijn

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 57%
Student > Master 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 4 57%
Economics, Econometrics and Finance 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 07 September 2016.
All research outputs
#3,216,971
of 24,292,134 outputs
Outputs from Lecture notes in computer science
#653
of 8,148 outputs
Outputs of similar age
#54,665
of 402,486 outputs
Outputs of similar age from Lecture notes in computer science
#122
of 582 outputs
Altmetric has tracked 24,292,134 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,148 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 91% 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 402,486 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 85% of its contemporaries.
We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.