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Critical Infrastructure Protection III

Overview of attention for book
Cover of 'Critical Infrastructure Protection III'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Information Risk Management and Resilience
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    Chapter 2 Does the Liberalization of the European Railway Sector Increase Systemic Risk?
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    Chapter 3 Risk-Based Criticality Analysis
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    Chapter 4 Modeling and Managing Risk in Billing Infrastructures
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    Chapter 5 A Taxonomy of Attacks on the DNP3 Protocol
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    Chapter 6 Design and Implementation of a Secure Modbus Protocol
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    Chapter 7 Providing Situational Awareness for Pipeline Control Operations
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    Chapter 8 Enhancing the Safety, Security and Resilience of ICT and Scada Systems Using Action Research
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    Chapter 9 An Ontology for Identifying Cyber Intrusion Induced Faults in Process Control Systems
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    Chapter 10 Using Physical Models for Anomaly Detection in Control Systems
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    Chapter 11 Detecting Anomalies in Process Control Networks
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    Chapter 12 Nondeducibility-Based Analysis of Cyber-Physical Systems
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    Chapter 13 Stack-Based Buffer Overflows in Harvard Class Embedded Systems
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    Chapter 14 Secure Cross-Domain Train Scheduling
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    Chapter 15 A Holistic-Reductionistic Approach for Modeling Interdependencies
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    Chapter 16 Ontology-Based Critical Infrastructure Modeling and Simulation
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    Chapter 17 A Framework for Modeling Interdependencies in Japan’s Critical Infrastructures
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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

1 tweeter
2 patents
1 Wikipedia page


5 Dimensions

Readers on

40 Mendeley
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Critical Infrastructure Protection III
Published by
ADS, September 2009
DOI 10.1007/978-3-642-04798-5
978-3-64-204797-8, 978-3-64-226040-7, 978-3-64-204798-5

Palmer, Charles, Shenoi, Sujeet

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 8%
United Kingdom 1 3%
Germany 1 3%
Unknown 35 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 33%
Researcher 7 18%
Student > Doctoral Student 4 10%
Student > Bachelor 4 10%
Student > Ph. D. Student 3 8%
Other 9 23%
Readers by discipline Count As %
Engineering 16 40%
Computer Science 12 30%
Unspecified 2 5%
Chemistry 2 5%
Business, Management and Accounting 2 5%
Other 6 15%

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 31 January 2018.
All research outputs
of 13,461,834 outputs
Outputs from ADS
of 26,060 outputs
Outputs of similar age
of 348,628 outputs
Outputs of similar age from ADS
of 613 outputs
Altmetric has tracked 13,461,834 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,060 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 94% 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 348,628 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 83% of its contemporaries.
We're also able to compare this research output to 613 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 97% of its contemporaries.