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Using algorithms to address trade‐offs inherent in predicting recidivism

Overview of attention for article published in Behavioral Sciences & the Law, May 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 728)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
25 news outlets
twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Using algorithms to address trade‐offs inherent in predicting recidivism
Published in
Behavioral Sciences & the Law, May 2020
DOI 10.1002/bsl.2465
Pubmed ID
Authors

Jennifer Skeem, Christopher Lowenkamp

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Student > Bachelor 4 12%
Student > Doctoral Student 2 6%
Student > Master 2 6%
Professor 1 3%
Other 2 6%
Unknown 18 53%
Readers by discipline Count As %
Psychology 9 26%
Nursing and Health Professions 2 6%
Social Sciences 2 6%
Computer Science 1 3%
Arts and Humanities 1 3%
Other 2 6%
Unknown 17 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 199. 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 31 March 2022.
All research outputs
#178,194
of 23,864,146 outputs
Outputs from Behavioral Sciences & the Law
#5
of 728 outputs
Outputs of similar age
#6,011
of 384,214 outputs
Outputs of similar age from Behavioral Sciences & the Law
#1
of 10 outputs
Altmetric has tracked 23,864,146 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 728 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 99% 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 384,214 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 98% of its contemporaries.
We're also able to compare this research output to 10 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