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Combating discrimination using Bayesian networks

Overview of attention for article published in Artificial Intelligence and Law, February 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
81 Mendeley
Title
Combating discrimination using Bayesian networks
Published in
Artificial Intelligence and Law, February 2014
DOI 10.1007/s10506-014-9156-4
Authors

Koray Mancuhan, Chris Clifton

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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 1%
Canada 1 1%
Unknown 79 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 25%
Student > Master 14 17%
Researcher 9 11%
Student > Doctoral Student 6 7%
Lecturer 4 5%
Other 12 15%
Unknown 16 20%
Readers by discipline Count As %
Computer Science 27 33%
Social Sciences 13 16%
Economics, Econometrics and Finance 5 6%
Business, Management and Accounting 4 5%
Arts and Humanities 3 4%
Other 13 16%
Unknown 16 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 February 2023.
All research outputs
#8,262,193
of 26,017,215 outputs
Outputs from Artificial Intelligence and Law
#81
of 236 outputs
Outputs of similar age
#75,932
of 242,398 outputs
Outputs of similar age from Artificial Intelligence and Law
#3
of 5 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 236 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 64% 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 242,398 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% 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 2 of them.