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Measuring the complexity of the law: the United States Code

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

  • Among the highest-scoring outputs from this source (#41 of 214)
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
79 Mendeley
Title
Measuring the complexity of the law: the United States Code
Published in
Artificial Intelligence and Law, September 2014
DOI 10.1007/s10506-014-9160-8
Authors

Daniel Martin Katz, M. J. Bommarito

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Japan 1 1%
Poland 1 1%
Italy 1 1%
Unknown 74 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Student > Master 11 14%
Researcher 8 10%
Other 7 9%
Student > Bachelor 4 5%
Other 15 19%
Unknown 16 20%
Readers by discipline Count As %
Social Sciences 24 30%
Computer Science 10 13%
Business, Management and Accounting 6 8%
Economics, Econometrics and Finance 4 5%
Mathematics 3 4%
Other 10 13%
Unknown 22 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 05 May 2020.
All research outputs
#6,377,694
of 23,849,058 outputs
Outputs from Artificial Intelligence and Law
#41
of 214 outputs
Outputs of similar age
#57,487
of 227,805 outputs
Outputs of similar age from Artificial Intelligence and Law
#2
of 2 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
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 67% 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 227,805 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 74% 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.