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They who must not be identified—distinguishing personal from non-personal data under the GDPR

Overview of attention for article published in International Data Privacy Law, March 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 199)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
32 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
35 Mendeley
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Title
They who must not be identified—distinguishing personal from non-personal data under the GDPR
Published in
International Data Privacy Law, March 2020
DOI 10.1093/idpl/ipz026
Authors

Michèle Finck, Frank Pallas

Twitter Demographics

The data shown below were collected from the profiles of 32 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 23%
Student > Master 5 14%
Researcher 4 11%
Lecturer 3 9%
Professor 2 6%
Other 2 6%
Unknown 11 31%
Readers by discipline Count As %
Social Sciences 10 29%
Arts and Humanities 5 14%
Computer Science 4 11%
Economics, Econometrics and Finance 1 3%
Decision Sciences 1 3%
Other 1 3%
Unknown 13 37%

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 March 2021.
All research outputs
#754,855
of 17,397,008 outputs
Outputs from International Data Privacy Law
#15
of 199 outputs
Outputs of similar age
#22,302
of 279,589 outputs
Outputs of similar age from International Data Privacy Law
#1
of 5 outputs
Altmetric has tracked 17,397,008 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 199 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 92% 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 279,589 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 92% 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