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Agent-Based Modeling as a Legal Theory Tool

Overview of attention for article published in Frontiers in Physics, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Agent-Based Modeling as a Legal Theory Tool
Published in
Frontiers in Physics, June 2021
DOI 10.3389/fphy.2021.666386
Authors

Sebastian Benthall, Katherine J. Strandburg

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 17%
Student > Ph. D. Student 2 17%
Other 1 8%
Student > Bachelor 1 8%
Librarian 1 8%
Other 3 25%
Unknown 2 17%
Readers by discipline Count As %
Social Sciences 4 33%
Arts and Humanities 1 8%
Economics, Econometrics and Finance 1 8%
Computer Science 1 8%
Physics and Astronomy 1 8%
Other 1 8%
Unknown 3 25%
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 12 March 2024.
All research outputs
#7,599,496
of 23,810,331 outputs
Outputs from Frontiers in Physics
#289
of 3,949 outputs
Outputs of similar age
#158,717
of 447,011 outputs
Outputs of similar age from Frontiers in Physics
#21
of 208 outputs
Altmetric has tracked 23,810,331 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 3,949 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 92% 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 447,011 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 64% of its contemporaries.
We're also able to compare this research output to 208 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.