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The detection of criminal groups in real-world fused data: using the graph-mining algorithm “GraphExtract”

Overview of attention for article published in Security Informatics, August 2018
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Mentioned by

twitter
2 X users

Citations

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21 Dimensions

Readers on

mendeley
41 Mendeley
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Title
The detection of criminal groups in real-world fused data: using the graph-mining algorithm “GraphExtract”
Published in
Security Informatics, August 2018
DOI 10.1186/s13388-018-0031-9
Authors

David Robinson, Chris Scogings

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 27%
Lecturer 5 12%
Student > Doctoral Student 5 12%
Student > Master 4 10%
Student > Postgraduate 3 7%
Other 4 10%
Unknown 9 22%
Readers by discipline Count As %
Computer Science 18 44%
Engineering 4 10%
Business, Management and Accounting 2 5%
Agricultural and Biological Sciences 2 5%
Social Sciences 2 5%
Other 2 5%
Unknown 11 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 November 2020.
All research outputs
#13,625,040
of 23,100,534 outputs
Outputs from Security Informatics
#15
of 38 outputs
Outputs of similar age
#170,537
of 333,251 outputs
Outputs of similar age from Security Informatics
#1
of 1 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 38 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one scored the same or higher as 23 of them.
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 333,251 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
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