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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
  • One of the highest-scoring outputs from this source (#8 of 244)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
3 policy sources
twitter
37 X users

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
137 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 X users 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 18%
Student > Master 12 9%
Student > Bachelor 10 7%
Researcher 10 7%
Lecturer 5 4%
Other 10 7%
Unknown 66 48%
Readers by discipline Count As %
Social Sciences 23 17%
Computer Science 14 10%
Arts and Humanities 7 5%
Business, Management and Accounting 6 4%
Economics, Econometrics and Finance 4 3%
Other 10 7%
Unknown 73 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 07 November 2023.
All research outputs
#854,619
of 25,837,817 outputs
Outputs from International Data Privacy Law
#8
of 244 outputs
Outputs of similar age
#22,352
of 390,447 outputs
Outputs of similar age from International Data Privacy Law
#1
of 8 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 244 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 96% 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 390,447 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 94% of its contemporaries.
We're also able to compare this research output to 8 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