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Patterns of risk—Using machine learning and structural neuroimaging to identify pedophilic offenders

Overview of attention for article published in Frontiers in Psychiatry, April 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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
twitter
8 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Patterns of risk—Using machine learning and structural neuroimaging to identify pedophilic offenders
Published in
Frontiers in Psychiatry, April 2023
DOI 10.3389/fpsyt.2023.1001085
Pubmed ID
Authors

David Popovic, Maximilian Wertz, Carolin Geisler, Joern Kaufmann, Markku Lähteenvuo, Johannes Lieslehto, Joachim Witzel, Bernhard Bogerts, Martin Walter, Peter Falkai, Nikolaos Koutsouleris, Kolja Schiltz

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 10%
Unspecified 3 7%
Student > Ph. D. Student 3 7%
Student > Bachelor 2 5%
Student > Master 2 5%
Other 2 5%
Unknown 26 62%
Readers by discipline Count As %
Psychology 8 19%
Unspecified 4 10%
Medicine and Dentistry 2 5%
Computer Science 1 2%
Nursing and Health Professions 1 2%
Other 2 5%
Unknown 24 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 13 May 2023.
All research outputs
#2,538,802
of 26,397,269 outputs
Outputs from Frontiers in Psychiatry
#1,562
of 13,139 outputs
Outputs of similar age
#48,967
of 422,967 outputs
Outputs of similar age from Frontiers in Psychiatry
#44
of 654 outputs
Altmetric has tracked 26,397,269 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,139 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done well, scoring higher than 88% 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 422,967 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 88% of its contemporaries.
We're also able to compare this research output to 654 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.