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Formalizing GDPR Provisions in Reified I/O Logic: The DAPRECO Knowledge Base

Overview of attention for article published in Journal of Logic, Language and Information, November 2019
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About this Attention Score

  • One of the highest-scoring outputs from this source (#7 of 170)
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
70 Mendeley
Title
Formalizing GDPR Provisions in Reified I/O Logic: The DAPRECO Knowledge Base
Published in
Journal of Logic, Language and Information, November 2019
DOI 10.1007/s10849-019-09309-z
Authors

Livio Robaldo, Cesare Bartolini, Monica Palmirani, Arianna Rossi, Michele Martoni, Gabriele Lenzini

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 13%
Student > Master 8 11%
Researcher 7 10%
Student > Doctoral Student 6 9%
Professor > Associate Professor 5 7%
Other 13 19%
Unknown 22 31%
Readers by discipline Count As %
Computer Science 20 29%
Social Sciences 14 20%
Business, Management and Accounting 7 10%
Engineering 2 3%
Agricultural and Biological Sciences 1 1%
Other 3 4%
Unknown 23 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 23 November 2019.
All research outputs
#6,223,248
of 23,867,274 outputs
Outputs from Journal of Logic, Language and Information
#7
of 170 outputs
Outputs of similar age
#128,785
of 462,517 outputs
Outputs of similar age from Journal of Logic, Language and Information
#1
of 7 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 170 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done particularly well, scoring higher than 95% 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 462,517 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 7 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