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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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About this Attention Score

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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Readers on

mendeley
13 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

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 31%
Unspecified 4 31%
Student > Master 2 15%
Student > Ph. D. Student 2 15%
Other 1 8%
Other 0 0%
Readers by discipline Count As %
Unspecified 4 31%
Computer Science 3 23%
Economics, Econometrics and Finance 2 15%
Arts and Humanities 1 8%
Nursing and Health Professions 1 8%
Other 2 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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
#7,711,292
of 13,396,110 outputs
Outputs from Computer Law & Security Review
#176
of 264 outputs
Outputs of similar age
#132,196
of 253,713 outputs
Outputs of similar age from Computer Law & Security Review
#5
of 9 outputs
Altmetric has tracked 13,396,110 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 31st percentile – i.e., 31% 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 253,713 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% 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.