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Proceedings of 5th International Conference in Software Engineering for Defence Applications

Overview of attention for book
Cover of 'Proceedings of 5th International Conference in Software Engineering for Defence Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Self-adaptive Node-Based PCA Encodings
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    Chapter 2 Microservices Science and Engineering
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    Chapter 3 Evolving In-service Support Models for Secure Weapon Systems
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    Chapter 4 Initial Steps Towards Assessing the Usability of a Verification Tool
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    Chapter 5 The Agile Coordination Processes
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    Chapter 6 A Blockchain-Based Solution for Enabling Log-Based Resolution of Disputes in Multi-party Transactions
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    Chapter 7 AntibIoTic: Protecting IoT Devices Against DDoS Attacks
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    Chapter 8 An Initial Investigation of Concurrency Bugs in Open Source Systems
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    Chapter 9 Contracting Agile Developments for the Public Sector: The Italian Case
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    Chapter 10 Domain Objects and Microservices for Systems Development: A Roadmap
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    Chapter 11 A Machine Learning Approach for Continuous Development
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    Chapter 12 Toward a Model of Emotion and Its Contagion Influences on Agile Development for Defense Applications
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    Chapter 13 The Internet of Hackable Things
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    Chapter 14 Avoiding Sensitive Data Disclosure: Android System Design and Development Data Leaks Detection Thesis Master Degree Computer Engineering
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    Chapter 15 Towards Non-invasive Software Measurement System: Architecture and Implementation
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    Chapter 16 Joining Jolie to Docker
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    Chapter 17 Crisis Management in Software Engineering: Behavioral Aspects
  19. Altmetric Badge
    Chapter 18 Using the “Agile” Paradigm to Support Innovation in Large Organizations
Attention for Chapter 7: AntibIoTic: Protecting IoT Devices Against DDoS Attacks
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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5 X users
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1 Facebook page

Readers on

mendeley
61 Mendeley
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Chapter title
AntibIoTic: Protecting IoT Devices Against DDoS Attacks
Chapter number 7
Book title
Proceedings of 5th International Conference in Software Engineering for Defence Applications
Published in
arXiv, June 2017
DOI 10.1007/978-3-319-70578-1_7
Book ISBNs
978-3-31-970577-4, 978-3-31-970578-1
Authors

Michele De Donno, Nicola Dragoni, Alberto Giaretta, Manuel Mazzara, De Donno, Michele, Dragoni, Nicola, Giaretta, Alberto, Mazzara, Manuel

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 25%
Student > Bachelor 8 13%
Student > Ph. D. Student 7 11%
Researcher 5 8%
Lecturer 3 5%
Other 10 16%
Unknown 13 21%
Readers by discipline Count As %
Computer Science 36 59%
Engineering 6 10%
Decision Sciences 2 3%
Unspecified 1 2%
Unknown 16 26%
Attention Score in Context

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 28 August 2017.
All research outputs
#12,857,660
of 22,997,544 outputs
Outputs from arXiv
#184,897
of 944,112 outputs
Outputs of similar age
#146,656
of 315,477 outputs
Outputs of similar age from arXiv
#4,001
of 19,037 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 944,112 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 315,477 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 52% of its contemporaries.
We're also able to compare this research output to 19,037 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.