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Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns

Overview of attention for article published in Big Data & Society, June 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
63 X users

Citations

dimensions_citation
164 Dimensions

Readers on

mendeley
486 Mendeley
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Title
Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns
Published in
Big Data & Society, June 2019
DOI 10.1177/2053951719860542
Authors

Heike Felzmann, Eduard Fosch Villaronga, Christoph Lutz, Aurelia Tamò-Larrieux

X Demographics

X Demographics

The data shown below were collected from the profiles of 63 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 486 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 486 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 66 14%
Student > Ph. D. Student 56 12%
Researcher 37 8%
Student > Bachelor 32 7%
Student > Doctoral Student 26 5%
Other 74 15%
Unknown 195 40%
Readers by discipline Count As %
Social Sciences 70 14%
Computer Science 59 12%
Business, Management and Accounting 42 9%
Engineering 21 4%
Arts and Humanities 18 4%
Other 68 14%
Unknown 208 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 08 November 2022.
All research outputs
#1,119,707
of 25,756,911 outputs
Outputs from Big Data & Society
#222
of 696 outputs
Outputs of similar age
#23,973
of 367,053 outputs
Outputs of similar age from Big Data & Society
#6
of 19 outputs
Altmetric has tracked 25,756,911 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 696 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.0. This one has gotten more attention than average, scoring higher than 68% 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 367,053 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 93% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.