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Personalization and privacy: a survey of privacy risks and remedies in personalization-based systems

Overview of attention for article published in User Modeling and User-Adapted Interaction, March 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 203)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
1 X user
patent
11 patents

Citations

dimensions_citation
135 Dimensions

Readers on

mendeley
419 Mendeley
citeulike
7 CiteULike
Title
Personalization and privacy: a survey of privacy risks and remedies in personalization-based systems
Published in
User Modeling and User-Adapted Interaction, March 2012
DOI 10.1007/s11257-011-9110-z
Authors

Eran Toch, Yang Wang, Lorrie Faith Cranor

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 419 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
United Kingdom 5 1%
Germany 4 <1%
Australia 4 <1%
Spain 2 <1%
Malaysia 2 <1%
Brazil 2 <1%
Netherlands 1 <1%
Bulgaria 1 <1%
Other 12 3%
Unknown 380 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 101 24%
Student > Ph. D. Student 92 22%
Researcher 37 9%
Student > Bachelor 37 9%
Student > Doctoral Student 27 6%
Other 64 15%
Unknown 61 15%
Readers by discipline Count As %
Computer Science 185 44%
Business, Management and Accounting 62 15%
Social Sciences 38 9%
Engineering 24 6%
Economics, Econometrics and Finance 10 2%
Other 28 7%
Unknown 72 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 09 April 2024.
All research outputs
#1,233,692
of 25,002,811 outputs
Outputs from User Modeling and User-Adapted Interaction
#1
of 203 outputs
Outputs of similar age
#6,228
of 161,298 outputs
Outputs of similar age from User Modeling and User-Adapted Interaction
#1
of 5 outputs
Altmetric has tracked 25,002,811 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 203 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% 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 161,298 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 5 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