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The geometry of suspicious money laundering activities in financial networks

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
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
11 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
35 Mendeley
Title
The geometry of suspicious money laundering activities in financial networks
Published in
EPJ Data Science, February 2022
DOI 10.1140/epjds/s13688-022-00318-w
Authors

Oscar M. Granados, Andrés Vargas

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 8 23%
Student > Master 4 11%
Researcher 3 9%
Lecturer 2 6%
Student > Bachelor 1 3%
Other 2 6%
Unknown 15 43%
Readers by discipline Count As %
Unspecified 8 23%
Computer Science 3 9%
Business, Management and Accounting 2 6%
Social Sciences 2 6%
Psychology 1 3%
Other 2 6%
Unknown 17 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 11 October 2023.
All research outputs
#5,273,441
of 25,663,438 outputs
Outputs from EPJ Data Science
#311
of 457 outputs
Outputs of similar age
#125,418
of 523,955 outputs
Outputs of similar age from EPJ Data Science
#10
of 19 outputs
Altmetric has tracked 25,663,438 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 457 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.6. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 523,955 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.