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Socially disruptive periods and topics from information-theoretical analysis of judicial decisions

Overview of attention for article published in EPJ Data Science, February 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
18 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
8 Mendeley
Title
Socially disruptive periods and topics from information-theoretical analysis of judicial decisions
Published in
EPJ Data Science, February 2023
DOI 10.1140/epjds/s13688-022-00376-0
Authors

Lluc Font-Pomarol, Angelo Piga, Rosa Maria Garcia-Teruel, Sergio Nasarre-Aznar, Marta Sales-Pardo, Roger Guimerà

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 13%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Unknown 5 63%
Readers by discipline Count As %
Computer Science 1 13%
Physics and Astronomy 1 13%
Unknown 6 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 18 November 2023.
All research outputs
#1,523,639
of 24,457,056 outputs
Outputs from EPJ Data Science
#129
of 403 outputs
Outputs of similar age
#31,199
of 448,012 outputs
Outputs of similar age from EPJ Data Science
#1
of 8 outputs
Altmetric has tracked 24,457,056 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 403 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.8. This one has gotten more attention than average, scoring higher than 68% 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 448,012 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 8 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