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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 Rethinking BPM in a Cognitive World: Transforming How We Learn and Perform Business Processes
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    Chapter 2 Ontological Considerations About the Representation of Events and Endurants in Business Models
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    Chapter 3 A Unified Approach for Measuring Precision and Generalization Based on Anti-alignments
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    Chapter 4 A Stability Assessment Framework for Process Discovery Techniques
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    Chapter 5 Measuring the Quality of Models with Respect to the Underlying System: An Empirical Study
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    Chapter 6 Handling Duplicated Tasks in Process Discovery by Refining Event Labels
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    Chapter 7 Discovering Duplicate Tasks in Transition Systems for the Simplification of Process Models
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    Chapter 8 From Low-Level Events to Activities - A Pattern-Based Approach
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    Chapter 9 Discovering and Exploring State-Based Models for Multi-perspective Processes
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    Chapter 10 Semantical Vacuity Detection in Declarative Process Mining
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    Chapter 11 In Log and Model We Trust? A Generalized Conformance Checking Framework
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    Chapter 12 A Recursive Paradigm for Aligning Observed Behavior of Large Structured Process Models
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    Chapter 13 Semantics and Analysis of DMN Decision Tables
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    Chapter 14 Dynamic Skipping and Blocking and Dead Path Elimination for Cyclic Workflows
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    Chapter 15 The Complexity of Deadline Analysis for Workflow Graphs with Multiple Resources
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    Chapter 16 Dealing with Behavioral Ambiguity in Textual Process Descriptions
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    Chapter 17 The Effect of Modularity Representation and Presentation Medium on the Understandability of Business Process Models in BPMN
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    Chapter 18 Towards Quality-Aware Translations of Activity-Centric Processes to Guard Stage Milestone
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    Chapter 19 Untrusted Business Process Monitoring and Execution Using Blockchain
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    Chapter 20 Classification and Formalization of Instance-Spanning Constraints in Process-Driven Applications
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    Chapter 21 Value at Risk Within Business Processes: An Automated IT Risk Governance Approach
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    Chapter 22 PRISM – A Predictive Risk Monitoring Approach for Business Processes
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    Chapter 23 Predictive Business Process Monitoring with Structured and Unstructured Data
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    Chapter 24 P $$^3$$ -Folder: Optimal Model Simplification for Improving Accuracy in Process Performance Prediction
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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
16 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
139 Mendeley
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Title
Business Process Management
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-45348-4
ISBNs
978-3-31-945347-7, 978-3-31-945348-4
Editors

Marcello La Rosa, Peter Loos, Oscar Pastor

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 <1%
Unknown 138 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 27%
Student > Ph. D. Student 25 18%
Student > Bachelor 19 14%
Student > Doctoral Student 9 6%
Researcher 7 5%
Other 9 6%
Unknown 33 24%
Readers by discipline Count As %
Computer Science 48 35%
Business, Management and Accounting 21 15%
Engineering 17 12%
Economics, Econometrics and Finance 4 3%
Social Sciences 3 2%
Other 7 5%
Unknown 39 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 16 May 2018.
All research outputs
#1,507,989
of 23,305,591 outputs
Outputs from Lecture notes in computer science
#248
of 8,162 outputs
Outputs of similar age
#27,848
of 396,041 outputs
Outputs of similar age from Lecture notes in computer science
#59
of 583 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,162 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 96% 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 396,041 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 583 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.