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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 (#14 of 223)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
38 tweeters

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
91 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 38 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Student > Master 11 12%
Student > Bachelor 7 8%
Researcher 7 8%
Lecturer 4 4%
Other 9 10%
Unknown 35 38%
Readers by discipline Count As %
Social Sciences 20 22%
Computer Science 9 10%
Arts and Humanities 5 5%
Business, Management and Accounting 4 4%
Economics, Econometrics and Finance 3 3%
Other 9 10%
Unknown 41 45%

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 02 November 2022.
All research outputs
#948,220
of 22,441,655 outputs
Outputs from International Data Privacy Law
#14
of 223 outputs
Outputs of similar age
#22,047
of 291,253 outputs
Outputs of similar age from International Data Privacy Law
#1
of 5 outputs
Altmetric has tracked 22,441,655 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 223 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 93% 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 291,253 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