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Data Privacy Management, Cryptocurrencies and Blockchain Technology

Overview of attention for book
Cover of 'Data Privacy Management, Cryptocurrencies and Blockchain Technology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Succinctly Verifiable Sealed-Bid Auction Smart Contract
  3. Altmetric Badge
    Chapter 2 Blockchain-Based Fair Certified Notifications
  4. Altmetric Badge
    Chapter 3 On Symbolic Verification of Bitcoin’s script Language
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    Chapter 4 Self-reproducing Coins as Universal Turing Machine
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    Chapter 5 Split Payments in Payment Networks
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    Chapter 6 Payment Network Design with Fees
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    Chapter 7 Atomic Information Disclosure of Off-Chained Computations Using Threshold Encryption
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    Chapter 8 Contour: A Practical System for Binary Transparency
  10. Altmetric Badge
    Chapter 9 What Blockchain Alternative Do You Need?
  11. Altmetric Badge
    Chapter 10 Valuable Puzzles for Proofs-of-Work
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    Chapter 11 A Poisoning Attack Against Cryptocurrency Mining Pools
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    Chapter 12 Using Economic Risk to Model Miner Hash Rate Allocation in Cryptocurrencies
  14. Altmetric Badge
    Chapter 13 Avoiding Deadlocks in Payment Channel Networks
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    Chapter 14 Coloured Ring Confidential Transactions
  16. Altmetric Badge
    Chapter 15 Pitchforks in Cryptocurrencies:
  17. Altmetric Badge
    Chapter 16 Towards an Effective Privacy Impact and Risk Assessment Methodology: Risk Analysis
  18. Altmetric Badge
    Chapter 17 Privacy Risk Assessment: From Art to Science, by Metrics
  19. Altmetric Badge
    Chapter 18 Bootstrapping Online Trust: Timeline Activity Proofs
  20. Altmetric Badge
    Chapter 19 Post-processing Methods for High Quality Privacy-Preserving Record Linkage
  21. Altmetric Badge
    Chapter 20 $$\delta $$-DOCA: Achieving Privacy in Data Streams
  22. Altmetric Badge
    Chapter 21 Data Oblivious Genome Variants Search on Intel SGX
  23. Altmetric Badge
    Chapter 22 Developing GDPR Compliant Apps for the Edge
  24. Altmetric Badge
    Chapter 23 YaPPL - A Lightweight Privacy Preference Language for Legally Sufficient and Automated Consent Provision in IoT Scenarios
  25. Altmetric Badge
    Chapter 24 PrivacyGuard: Enforcing Private Data Usage with Blockchain and Attested Execution
  26. Altmetric Badge
    Chapter 25 A Performance and Resource Consumption Assessment of Secret Sharing Based Secure Multiparty Computation
  27. Altmetric Badge
    Chapter 26 Privacy-Preserving Trade Chain Detection
  28. Altmetric Badge
    Chapter 27 FHE-Compatible Batch Normalization for Privacy Preserving Deep Learning
  29. Altmetric Badge
    Chapter 28 A General Algorithm for k-anonymity on Dynamic Databases
  30. Altmetric Badge
    Chapter 29 On Security of Anonymous Invitation-Based System
  31. Altmetric Badge
    Chapter 30 Probabilistic Metric Spaces for Privacy by Design Machine Learning Algorithms: Modeling Database Changes
  32. Altmetric Badge
    Chapter 31 Lifelogging Protection Scheme for Internet-Based Personal Assistants
Attention for Chapter 17: Privacy Risk Assessment: From Art to Science, by Metrics
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
twitter
9 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
56 Mendeley
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Chapter title
Privacy Risk Assessment: From Art to Science, by Metrics
Chapter number 17
Book title
Data Privacy Management, Cryptocurrencies and Blockchain Technology
Published in
arXiv, September 2018
DOI 10.1007/978-3-030-00305-0_17
Book ISBNs
978-3-03-000304-3, 978-3-03-000305-0
Authors

Isabel Wagner, Eerke Boiten, Wagner, Isabel, Boiten, Eerke

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 30%
Student > Master 8 14%
Researcher 8 14%
Student > Doctoral Student 4 7%
Student > Bachelor 2 4%
Other 5 9%
Unknown 12 21%
Readers by discipline Count As %
Computer Science 25 45%
Engineering 5 9%
Business, Management and Accounting 3 5%
Social Sciences 3 5%
Physics and Astronomy 1 2%
Other 5 9%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 30 August 2022.
All research outputs
#1,940,929
of 24,228,883 outputs
Outputs from arXiv
#32,591
of 1,028,464 outputs
Outputs of similar age
#40,728
of 339,507 outputs
Outputs of similar age from arXiv
#763
of 24,288 outputs
Altmetric has tracked 24,228,883 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,028,464 research outputs from this source. They receive a mean Attention Score of 4.0. 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 339,507 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 87% of its contemporaries.
We're also able to compare this research output to 24,288 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 96% of its contemporaries.