↓ Skip to main content

SAGE Publishing

Article Metrics

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
Altmetric Badge

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 (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
49 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
124 Mendeley
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

Twitter Demographics

The data shown below were collected from the profiles of 49 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 21%
Student > Ph. D. Student 18 15%
Researcher 16 13%
Student > Bachelor 13 10%
Student > Doctoral Student 10 8%
Other 13 10%
Unknown 28 23%
Readers by discipline Count As %
Social Sciences 29 23%
Computer Science 27 22%
Business, Management and Accounting 9 7%
Engineering 6 5%
Arts and Humanities 6 5%
Other 13 10%
Unknown 34 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 20 November 2020.
All research outputs
#733,381
of 16,284,469 outputs
Outputs from Big Data & Society
#153
of 343 outputs
Outputs of similar age
#20,003
of 266,997 outputs
Outputs of similar age from Big Data & Society
#10
of 21 outputs
Altmetric has tracked 16,284,469 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 343 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 47.9. This one has gotten more attention than average, scoring higher than 55% 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 266,997 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 21 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 52% of its contemporaries.