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Advanced Information Systems Engineering Workshops

Overview of attention for book
Cover of 'Advanced Information Systems Engineering Workshops'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Impact of Confusion on Syntax Errors in Simple Sequence Flow Models in BPMN
  3. Altmetric Badge
    Chapter 2 A Case Study of Executive Functions in Real Process Modeling Sessions
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    Chapter 3 The Subjective Cost of Writing Reusable Code: The Case of Functions
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    Chapter 4 Climb Your Way to the Model: Teaching UML to Software Engineering Students
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    Chapter 5 A New Method for Manufacturing Process Autonomous Planning in Intelligent Manufacturing System
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    Chapter 6 Design of Meshing Assembly Algorithms for Industrial Gears Based on Image Recognition
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    Chapter 7 Detecting Anomalous Behavior Towards Predictive Maintenance
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    Chapter 8 Data Analytics Towards Predictive Maintenance for Industrial Ovens
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    Chapter 9 A RAMI 4.0 View of Predictive Maintenance: Software Architecture, Platform and Case Study in Steel Industry
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    Chapter 10 Different Perspectives of a Factory of the Future: An Overview
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    Chapter 11 Predictive Maintenance in a Digital Factory Shop-Floor: Data Mining on Historical and Operational Data Coming from Manufacturers’ Information Systems
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    Chapter 12 Information Extraction for Additive Manufacturing Using News Data
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    Chapter 13 A Fog Computing Approach for Predictive Maintenance
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    Chapter 14 Blockchain Usage for Government-Issued Electronic IDs: A Survey
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    Chapter 15 Smart Contracts and Void Declarations of Intent
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    Chapter 16 Blockchain-Based Application Security Risks: A Systematic Literature Review
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    Chapter 17 Data Management: Relational vs Blockchain Databases
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    Chapter 18 A Generic Framework for Flexible and Data-Aware Business Process Engines
  20. Altmetric Badge
    Chapter 19 Building Information Systems Using Collaborative-Filtering Recommendation Techniques
Attention for Chapter 16: Blockchain-Based Application Security Risks: A Systematic Literature Review
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
34 Mendeley
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Chapter title
Blockchain-Based Application Security Risks: A Systematic Literature Review
Chapter number 16
Book title
Advanced Information Systems Engineering Workshops
Published in
arXiv, June 2019
DOI 10.1007/978-3-030-20948-3_16
Book ISBNs
978-3-03-020947-6, 978-3-03-020948-3
Authors

Mubashar Iqbal, Raimundas Matulevičius, Raimundas Matulevicius

Twitter Demographics

The data shown below were collected from the profiles of 5 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Student > Ph. D. Student 6 18%
Student > Doctoral Student 4 12%
Lecturer 3 9%
Student > Bachelor 3 9%
Other 3 9%
Unknown 7 21%
Readers by discipline Count As %
Computer Science 15 44%
Engineering 6 18%
Business, Management and Accounting 3 9%
Physics and Astronomy 1 3%
Economics, Econometrics and Finance 1 3%
Other 0 0%
Unknown 8 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 December 2019.
All research outputs
#7,933,361
of 15,298,914 outputs
Outputs from arXiv
#112,822
of 587,388 outputs
Outputs of similar age
#109,307
of 265,642 outputs
Outputs of similar age from arXiv
#6,077
of 30,152 outputs
Altmetric has tracked 15,298,914 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 587,388 research outputs from this source. They receive a mean Attention Score of 3.9. 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 265,642 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 58% of its contemporaries.
We're also able to compare this research output to 30,152 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.