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Profiling tax and financial behaviour with big data under the GDPR

Overview of attention for article published in Computer Law & Security Review, May 2019
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Mentioned by

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1 X user

Citations

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27 Dimensions

Readers on

mendeley
199 Mendeley
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Title
Profiling tax and financial behaviour with big data under the GDPR
Published in
Computer Law & Security Review, May 2019
DOI 10.1016/j.clsr.2019.01.003
Authors

Eugenia Politou, Efthimios Alepis, Constantinos Patsakis

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

Geographical breakdown

Country Count As %
Unknown 199 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 16%
Student > Ph. D. Student 18 9%
Student > Bachelor 12 6%
Lecturer 9 5%
Other 8 4%
Other 27 14%
Unknown 93 47%
Readers by discipline Count As %
Business, Management and Accounting 28 14%
Computer Science 21 11%
Engineering 18 9%
Economics, Econometrics and Finance 15 8%
Social Sciences 11 6%
Other 5 3%
Unknown 101 51%
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 22 May 2019.
All research outputs
#17,295,853
of 25,385,509 outputs
Outputs from Computer Law & Security Review
#410
of 529 outputs
Outputs of similar age
#231,655
of 363,254 outputs
Outputs of similar age from Computer Law & Security Review
#5
of 9 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 529 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 9th percentile – i.e., 9% 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 363,254 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.