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Improving the Robustness and Accuracy of Crime Prediction with the Self-Exciting Point Process Through Isotropic Triggering

Overview of attention for article published in Applied Spatial Analysis and Policy, July 2016
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1 X user

Citations

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37 Mendeley
Title
Improving the Robustness and Accuracy of Crime Prediction with the Self-Exciting Point Process Through Isotropic Triggering
Published in
Applied Spatial Analysis and Policy, July 2016
DOI 10.1007/s12061-016-9198-y
Authors

Gabriel Rosser, Tao Cheng

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Doctoral Student 5 14%
Student > Master 3 8%
Student > Bachelor 2 5%
Researcher 2 5%
Other 7 19%
Unknown 11 30%
Readers by discipline Count As %
Social Sciences 6 16%
Engineering 4 11%
Earth and Planetary Sciences 3 8%
Computer Science 3 8%
Business, Management and Accounting 2 5%
Other 8 22%
Unknown 11 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 July 2016.
All research outputs
#20,335,423
of 22,880,230 outputs
Outputs from Applied Spatial Analysis and Policy
#160
of 238 outputs
Outputs of similar age
#308,116
of 354,637 outputs
Outputs of similar age from Applied Spatial Analysis and Policy
#8
of 11 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 238 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 354,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.