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Exploring the impact of algorithmic policing on social justice: Developing a framework for rhizomatic harm in the pre-crime society

Overview of attention for article published in Theoretical Criminology, May 2024
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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25 X users

Readers on

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3 Mendeley
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Title
Exploring the impact of algorithmic policing on social justice: Developing a framework for rhizomatic harm in the pre-crime society
Published in
Theoretical Criminology, May 2024
DOI 10.1177/13624806241246267
Authors

Rosamunde Van Brakel, Lander Govaerts

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Unspecified 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Social Sciences 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 29 May 2024.
All research outputs
#2,207,193
of 25,997,855 outputs
Outputs from Theoretical Criminology
#79
of 522 outputs
Outputs of similar age
#19,445
of 223,908 outputs
Outputs of similar age from Theoretical Criminology
#1
of 5 outputs
Altmetric has tracked 25,997,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 522 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 84% 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 223,908 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 91% of its contemporaries.
We're also able to compare this research output to 5 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