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A factor-based definition of precedential constraint

Overview of attention for article published in Artificial Intelligence and Law, June 2012
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1 X user

Citations

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57 Dimensions

Readers on

mendeley
29 Mendeley
Title
A factor-based definition of precedential constraint
Published in
Artificial Intelligence and Law, June 2012
DOI 10.1007/s10506-012-9125-8
Authors

John F. Horty, Trevor J. M. Bench-Capon

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

Geographical breakdown

Country Count As %
Netherlands 1 3%
Italy 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 28%
Researcher 4 14%
Student > Master 4 14%
Professor 1 3%
Librarian 1 3%
Other 2 7%
Unknown 9 31%
Readers by discipline Count As %
Social Sciences 8 28%
Computer Science 7 24%
Philosophy 3 10%
Immunology and Microbiology 1 3%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 8 28%
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 20 June 2012.
All research outputs
#19,246,640
of 23,849,058 outputs
Outputs from Artificial Intelligence and Law
#155
of 214 outputs
Outputs of similar age
#131,168
of 169,180 outputs
Outputs of similar age from Artificial Intelligence and Law
#2
of 3 outputs
Altmetric has tracked 23,849,058 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 214 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 3rd percentile – i.e., 3% 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 169,180 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.