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Advances in Digital Forensics IX

Overview of attention for book
Cover of 'Advances in Digital Forensics IX'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 History, Historiography and the Hermeneutics of the Hard Drive
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    Chapter 2 Protecting Third Party Privacy in Digital Forensic Investigations
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    Chapter 3 On the Scientific Maturity of Digital Forensics Research
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    Chapter 4 Cognitive Approaches for Digital Forensic Readiness Planning
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    Chapter 5 A Harmonized Process Model for Digital Forensic Investigation Readiness
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    Chapter 6 Evaluation of the Semi-automated Crime-Specific Digital Triage Process Model
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    Chapter 7 Reducing the Time Required for Hashing Operations
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    Chapter 8 Hash-Based File Content Identification Using Distributed Systems
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    Chapter 9 Creating Super Timelines in Windows Investigations
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    Chapter 10 Log File Analysis with Context-Free Grammars
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    Chapter 11 Using a Goal-Driven Approach in the Investigation of a Questioned Contract
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    Chapter 12 File Fragment Analysis Using Normalized Compression Distance
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    Chapter 13 Quantifying Windows File Slack Size and Stability
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    Chapter 14 Automating Video File Carving and Content Identification
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    Chapter 15 Data Recovery from Proprietary Formatted Cctv Hard Disks
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    Chapter 16 Creating Integrated Evidence Graphs for Network Forensics
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    Chapter 17 A Generic Bayesian Belief Model for Similar Cyber Crimes
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    Chapter 18 An Empirical Study Profiling Internet Pirates
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    Chapter 19 Real-Time Covert Timing Channel Detection in Networked Virtual Environments
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    Chapter 20 Impact of Cloud Computing on Digital Forensic Investigations
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    Chapter 21 Rule-Based Integrity Checking of Interrupt Descriptor Tables in Cloud Environments
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    Chapter 22 Comparison of the Data Recovery Function of Forensic Tools
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    Chapter 23 Security Analysis and Decryption of Filevault 2
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    Chapter 24 Detecting Counterfeit Currency and Identifying Its Source
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    Chapter 25 Towards Active Linguistic Authentication
Attention for Chapter 6: Evaluation of the Semi-automated Crime-Specific Digital Triage Process Model
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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 (82nd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
15 Mendeley
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Chapter title
Evaluation of the Semi-automated Crime-Specific Digital Triage Process Model
Chapter number 6
Book title
Advances in Digital Forensics IX
Published in
IFIP Advances in Information and Communication Technology, January 2013
DOI 10.1007/978-3-642-41148-9_6
Book ISBNs
978-3-64-241147-2, 978-3-64-241148-9
Authors

Gary Cantrell, David Dampier

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 27%
Student > Ph. D. Student 4 27%
Student > Bachelor 2 13%
Student > Doctoral Student 2 13%
Other 1 7%
Other 2 13%
Readers by discipline Count As %
Computer Science 15 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 February 2017.
All research outputs
#4,993,216
of 25,992,468 outputs
Outputs from IFIP Advances in Information and Communication Technology
#1
of 1 outputs
Outputs of similar age
#48,489
of 293,249 outputs
Outputs of similar age from IFIP Advances in Information and Communication Technology
#1
of 4 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one scored the same or higher as 0 of them.
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 293,249 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 82% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them