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How to regulate algorithmic decision‐making: A framework of regulatory requirements for different applications

Overview of attention for article published in Regulation & Governance, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
13 tweeters

Readers on

mendeley
7 Mendeley
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Title
How to regulate algorithmic decision‐making: A framework of regulatory requirements for different applications
Published in
Regulation & Governance, October 2020
DOI 10.1111/rego.12369
Authors

Tobias D. Krafft, Katharina A. Zweig, Pascal D. König

Twitter Demographics

The data shown below were collected from the profiles of 13 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Lecturer 1 14%
Unspecified 1 14%
Professor 1 14%
Professor > Associate Professor 1 14%
Other 0 0%
Readers by discipline Count As %
Social Sciences 4 57%
Computer Science 1 14%
Unspecified 1 14%
Design 1 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 04 November 2020.
All research outputs
#1,915,392
of 16,190,372 outputs
Outputs from Regulation & Governance
#70
of 346 outputs
Outputs of similar age
#49,196
of 271,626 outputs
Outputs of similar age from Regulation & Governance
#5
of 12 outputs
Altmetric has tracked 16,190,372 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 346 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 79% 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 271,626 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 12 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 58% of its contemporaries.