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Can nonexperts really emulate statistical learning methods? A comment on “The accuracy, fairness, and limits of predicting recidivism”

Overview of attention for article published in Political Analysis, November 2018
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Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Can nonexperts really emulate statistical learning methods? A comment on “The accuracy, fairness, and limits of predicting recidivism”
Published in
Political Analysis, November 2018
DOI 10.1017/pan.2018.55
Authors

Kirk Bansak

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Researcher 3 11%
Student > Bachelor 2 7%
Student > Postgraduate 2 7%
Student > Master 2 7%
Other 3 11%
Unknown 10 37%
Readers by discipline Count As %
Social Sciences 5 19%
Business, Management and Accounting 3 11%
Computer Science 2 7%
Decision Sciences 2 7%
Mathematics 1 4%
Other 3 11%
Unknown 11 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 November 2018.
All research outputs
#18,655,700
of 23,112,054 outputs
Outputs from Political Analysis
#480
of 518 outputs
Outputs of similar age
#270,111
of 352,383 outputs
Outputs of similar age from Political Analysis
#14
of 15 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 518 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 352,383 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.