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Crime event prediction with dynamic features

Overview of attention for article published in EPJ Data Science, October 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
21 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
172 Mendeley
Title
Crime event prediction with dynamic features
Published in
EPJ Data Science, October 2018
DOI 10.1140/epjds/s13688-018-0171-7
Authors

Shakila Khan Rumi, Ke Deng, Flora Dilys Salim

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 172 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 20%
Student > Ph. D. Student 17 10%
Student > Postgraduate 16 9%
Researcher 10 6%
Student > Bachelor 7 4%
Other 22 13%
Unknown 66 38%
Readers by discipline Count As %
Computer Science 64 37%
Engineering 8 5%
Social Sciences 7 4%
Agricultural and Biological Sciences 3 2%
Business, Management and Accounting 3 2%
Other 14 8%
Unknown 73 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 25 October 2018.
All research outputs
#975,537
of 24,975,845 outputs
Outputs from EPJ Data Science
#77
of 420 outputs
Outputs of similar age
#21,450
of 355,939 outputs
Outputs of similar age from EPJ Data Science
#8
of 20 outputs
Altmetric has tracked 24,975,845 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 420 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.3. This one has done well, scoring higher than 81% 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 355,939 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 93% of its contemporaries.
We're also able to compare this research output to 20 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 65% of its contemporaries.