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Tainted ties: the structure and dynamics of corruption networks extracted from deferred prosecution agreements

Overview of attention for article published in EPJ Data Science, February 2022
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
27 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
31 Mendeley
Title
Tainted ties: the structure and dynamics of corruption networks extracted from deferred prosecution agreements
Published in
EPJ Data Science, February 2022
DOI 10.1140/epjds/s13688-022-00320-2
Authors

Tomáš Diviák, Nicholas Lord

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 10%
Other 2 6%
Researcher 2 6%
Student > Bachelor 1 3%
Lecturer > Senior Lecturer 1 3%
Other 2 6%
Unknown 20 65%
Readers by discipline Count As %
Social Sciences 5 16%
Psychology 1 3%
Arts and Humanities 1 3%
Physics and Astronomy 1 3%
Engineering 1 3%
Other 0 0%
Unknown 22 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 23 November 2022.
All research outputs
#1,890,102
of 25,556,408 outputs
Outputs from EPJ Data Science
#164
of 449 outputs
Outputs of similar age
#47,089
of 524,142 outputs
Outputs of similar age from EPJ Data Science
#6
of 18 outputs
Altmetric has tracked 25,556,408 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 449 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.1. This one has gotten more attention than average, scoring higher than 63% 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 524,142 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 91% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.