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Business Process Management

Overview of attention for book
Cover of 'Business Process Management'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Temporal Network Representation of Event Logs for Improved Performance Modelling in Business Processes
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    Chapter 2 Synthesizing Petri Nets from Hasse Diagrams
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    Chapter 3 PE-BPMN: Privacy-Enhanced Business Process Model and Notation
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    Chapter 4 Learning Hybrid Process Models from Events
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    Chapter 5 Multi Instance Anomaly Detection in Business Process Executions
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    Chapter 6 Path-Colored Flow Diagrams: Increasing Business Process Insights by Visualizing Event Logs
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    Chapter 7 AB-BPM: Performance-Driven Instance Routing for Business Process Improvement
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    Chapter 8 Optimized Execution of Business Processes on Blockchain
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    Chapter 9 Efficient Migration-Aware Algorithms for Elastic BPMaaS
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    Chapter 10 Uncovering the Hidden Co-evolution in the Work History of Software Projects
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    Chapter 11 Towards a Holistic Discovery of Decisions in Process-Aware Information Systems
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    Chapter 12 Effect of Linked Rules on Business Process Model Understanding
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    Chapter 13 On the Performance Overhead of BPMN Modeling Practices
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    Chapter 14 Weak, Strong and Dynamic Controllability of Access-Controlled Workflows Under Conditional Uncertainty
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    Chapter 15 An Eye into the Future: Leveraging A-priori Knowledge in Predictive Business Process Monitoring
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    Chapter 16 Analysis of Knowledge-Intensive Processes Focused on the Communication Perspective
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    Chapter 17 TESSERACT: Time-Drifts in Event Streams Using Series of Evolving Rolling Averages of Completion Times
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    Chapter 18 Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions
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    Chapter 19 Discovering Infrequent Behavioral Patterns in Process Models
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
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

7 tweeters


2 Dimensions

Readers on

29 Mendeley
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Business Process Management
Published by
Lecture notes in computer science, January 2017
DOI 10.1007/978-3-319-65000-5
978-3-31-964999-3, 978-3-31-965000-5

Josep Carmona, Gregor Engels, Akhil Kumar

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 24%
Student > Ph. D. Student 6 21%
Researcher 4 14%
Student > Bachelor 4 14%
Unspecified 3 10%
Other 5 17%
Readers by discipline Count As %
Computer Science 16 55%
Business, Management and Accounting 6 21%
Unspecified 4 14%
Engineering 3 10%

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 09 July 2018.
All research outputs
of 13,199,565 outputs
Outputs from Lecture notes in computer science
of 7,361 outputs
Outputs of similar age
of 222,748 outputs
Outputs of similar age from Lecture notes in computer science
of 97 outputs
Altmetric has tracked 13,199,565 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,361 research outputs from this source. They receive a mean Attention Score of 4.4. 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 222,748 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 73% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.