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The structuring of legal knowledge in LOIS

Overview of attention for article published in Artificial Intelligence and Law, March 2007
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
34 Mendeley
Title
The structuring of legal knowledge in LOIS
Published in
Artificial Intelligence and Law, March 2007
DOI 10.1007/s10506-007-9034-4
Authors

Wim Peters, Maria-Teresa Sagri, Daniela Tiscornia

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 %
Portugal 1 3%
Germany 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Student > Master 7 21%
Researcher 5 15%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Computer Science 15 44%
Social Sciences 7 21%
Linguistics 4 12%
Biochemistry, Genetics and Molecular Biology 1 3%
Business, Management and Accounting 1 3%
Other 3 9%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 May 2014.
All research outputs
#7,866,480
of 23,849,058 outputs
Outputs from Artificial Intelligence and Law
#64
of 214 outputs
Outputs of similar age
#28,155
of 77,680 outputs
Outputs of similar age from Artificial Intelligence and Law
#1
of 2 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% 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 has gotten more attention than average, scoring higher than 59% 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 77,680 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
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