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Privacy Enhancing Technologies

Overview of attention for book
Cover of 'Privacy Enhancing Technologies'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 CloudTransport: Using Cloud Storage for Censorship-Resistant Networking
  3. Altmetric Badge
    Chapter 2 A Predictive Differentially-Private Mechanism for Mobility Traces
  4. Altmetric Badge
    Chapter 3 On the Effectiveness of Obfuscation Techniques in Online Social Networks
  5. Altmetric Badge
    Chapter 4 The Best of Both Worlds: Combining Information-Theoretic and Computational PIR for Communication Efficiency
  6. Altmetric Badge
    Chapter 5 Social Status and the Demand for Security and Privacy
  7. Altmetric Badge
    Chapter 6 C3P: Context-Aware Crowdsourced Cloud Privacy
  8. Altmetric Badge
    Chapter 7 Forward-Secure Distributed Encryption
  9. Altmetric Badge
    Chapter 8 I Know Why You Went to the Clinic: Risks and Realization of HTTPS Traffic Analysis
  10. Altmetric Badge
    Chapter 9 I Know What You’re Buying: Privacy Breaches on eBay
  11. Altmetric Badge
    Chapter 10 Quantifying the Effect of Co-location Information on Location Privacy
  12. Altmetric Badge
    Chapter 11 Do Dummies Pay Off? Limits of Dummy Traffic Protection in Anonymous Communications
  13. Altmetric Badge
    Chapter 12 Exploiting Delay Patterns for User IPs Identification in Cellular Networks
  14. Altmetric Badge
    Chapter 13 Why Doesn’t Jane Protect Her Privacy?
  15. Altmetric Badge
    Chapter 14 Measuring Freenet in the Wild: Censorship-Resilience under Observation
  16. Altmetric Badge
    Chapter 15 Dovetail: Stronger Anonymity in Next-Generation Internet Routing
  17. Altmetric Badge
    Chapter 16 Spoiled Onions: Exposing Malicious Tor Exit Relays
Attention for Chapter 13: Why Doesn’t Jane Protect Her Privacy?
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Mentioned by

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1 X user

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95 Mendeley
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Chapter title
Why Doesn’t Jane Protect Her Privacy?
Chapter number 13
Book title
Privacy Enhancing Technologies
Published in
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-08506-7_13
Book ISBNs
978-3-31-908505-0, 978-3-31-908506-7
Authors

Renaud, Karen, Volkamer, Melanie, Renkema-Padmos, Arne, Karen Renaud, Melanie Volkamer, Arne Renkema-Padmos

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 1%
Germany 1 1%
Korea, Republic of 1 1%
Unknown 90 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 22%
Student > Master 19 20%
Researcher 10 11%
Other 8 8%
Student > Doctoral Student 5 5%
Other 16 17%
Unknown 16 17%
Readers by discipline Count As %
Computer Science 58 61%
Social Sciences 10 11%
Engineering 4 4%
Psychology 1 1%
Arts and Humanities 1 1%
Other 2 2%
Unknown 19 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 August 2017.
All research outputs
#15,380,162
of 22,880,691 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,130 outputs
Outputs of similar age
#190,432
of 305,683 outputs
Outputs of similar age from Lecture notes in computer science
#163
of 280 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,130 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 305,683 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.