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Explaining offenders’ longitudinal product-specific target selection through changes in disposability, availability, and value: an open-source intelligence web-scraping approach

Overview of attention for article published in Crime Science, February 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Explaining offenders’ longitudinal product-specific target selection through changes in disposability, availability, and value: an open-source intelligence web-scraping approach
Published in
Crime Science, February 2022
DOI 10.1186/s40163-022-00164-1
Authors

Liam Quinn, Joseph Clare, Jade Lindley, Frank Morgan

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.
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 %
Professor 1 13%
Lecturer 1 13%
Student > Postgraduate 1 13%
Unknown 5 63%
Readers by discipline Count As %
Computer Science 2 25%
Social Sciences 1 13%
Unknown 5 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 29 June 2022.
All research outputs
#6,362,366
of 24,995,564 outputs
Outputs from Crime Science
#105
of 207 outputs
Outputs of similar age
#123,466
of 437,588 outputs
Outputs of similar age from Crime Science
#1
of 1 outputs
Altmetric has tracked 24,995,564 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 207 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one is in the 49th percentile – i.e., 49% 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 437,588 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 71% of its contemporaries.
We're also able to compare this research output to 1 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