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Building Bayesian networks for legal evidence with narratives: a case study evaluation

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

  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page
googleplus
2 Google+ users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
46 Mendeley
Title
Building Bayesian networks for legal evidence with narratives: a case study evaluation
Published in
Artificial Intelligence and Law, August 2014
DOI 10.1007/s10506-014-9161-7
Authors

Charlotte S. Vlek, Henry Prakken, Silja Renooij, Bart Verheij

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

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Netherlands 1 2%
Canada 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 37%
Student > Master 8 17%
Researcher 4 9%
Professor 3 7%
Student > Bachelor 2 4%
Other 6 13%
Unknown 6 13%
Readers by discipline Count As %
Computer Science 17 37%
Social Sciences 7 15%
Psychology 5 11%
Economics, Econometrics and Finance 2 4%
Engineering 2 4%
Other 6 13%
Unknown 7 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 14 August 2019.
All research outputs
#6,502,683
of 25,837,817 outputs
Outputs from Artificial Intelligence and Law
#53
of 235 outputs
Outputs of similar age
#56,769
of 243,438 outputs
Outputs of similar age from Artificial Intelligence and Law
#1
of 2 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 235 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 77% 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 243,438 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 76% of its contemporaries.
We're also able to compare this research output to 2 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