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User consent modeling for ensuring transparency and compliance in smart cities

Overview of attention for article published in Personal and Ubiquitous Computing, January 2020
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Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

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6 Dimensions

Readers on

mendeley
62 Mendeley
Title
User consent modeling for ensuring transparency and compliance in smart cities
Published in
Personal and Ubiquitous Computing, January 2020
DOI 10.1007/s00779-019-01330-0
Authors

Javier D. Fernández, Marta Sabou, Sabrina Kirrane, Elmar Kiesling, Fajar J. Ekaputra, Amr Azzam, Rigo Wenning

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

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 15%
Student > Ph. D. Student 7 11%
Researcher 6 10%
Other 5 8%
Student > Doctoral Student 3 5%
Other 7 11%
Unknown 25 40%
Readers by discipline Count As %
Computer Science 18 29%
Social Sciences 6 10%
Engineering 5 8%
Business, Management and Accounting 4 6%
Sports and Recreations 1 2%
Other 1 2%
Unknown 27 44%
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 14 January 2020.
All research outputs
#20,334,010
of 25,853,983 outputs
Outputs from Personal and Ubiquitous Computing
#647
of 1,259 outputs
Outputs of similar age
#345,774
of 480,732 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#16
of 42 outputs
Altmetric has tracked 25,853,983 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,259 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 26th percentile – i.e., 26% 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 480,732 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.