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A trusted de-swinging k-anonymity scheme for location privacy protection

Overview of attention for article published in Journal of Cloud Computing, January 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
10 Mendeley
Title
A trusted de-swinging k-anonymity scheme for location privacy protection
Published in
Journal of Cloud Computing, January 2022
DOI 10.1186/s13677-021-00272-4
Authors

Manxiang Yang, Baopeng Ye, Yuling Chen, Tao Li, Yixian Yang, Xiaobin Qian, Xiaomei Yu

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 10%
Professor > Associate Professor 1 10%
Student > Bachelor 1 10%
Student > Postgraduate 1 10%
Unknown 6 60%
Readers by discipline Count As %
Computer Science 2 20%
Nursing and Health Professions 1 10%
Engineering 1 10%
Unknown 6 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 January 2022.
All research outputs
#14,141,239
of 25,155,561 outputs
Outputs from Journal of Cloud Computing
#60
of 274 outputs
Outputs of similar age
#204,935
of 516,896 outputs
Outputs of similar age from Journal of Cloud Computing
#2
of 4 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 274 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 78% 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 516,896 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% 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 2 of them.