| Title |
Risk Clusters, Hotspots, and Spatial Intelligence: Risk Terrain Modeling as an Algorithm for Police Resource Allocation Strategies
|
|---|---|
| Published in |
Journal of Quantitative Criminology, November 2010
|
| DOI | 10.1007/s10940-010-9126-2 |
| Authors |
Leslie W. Kennedy, Joel M. Caplan, Eric Piza |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 50% |
| United Kingdom | 2 | 33% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 33% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| United Kingdom | 3 | 1% |
| Colombia | 1 | <1% |
| Chile | 1 | <1% |
| South Africa | 1 | <1% |
| Spain | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 200 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 22% |
| Student > Master | 42 | 20% |
| Student > Bachelor | 25 | 12% |
| Researcher | 20 | 9% |
| Student > Doctoral Student | 12 | 6% |
| Other | 27 | 13% |
| Unknown | 41 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 60 | 28% |
| Computer Science | 25 | 12% |
| Environmental Science | 12 | 6% |
| Engineering | 12 | 6% |
| Economics, Econometrics and Finance | 7 | 3% |
| Other | 49 | 23% |
| Unknown | 50 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 07 January 2020.
All research outputs
#3,158,166
of 22,689,790 outputs
Outputs from Journal of Quantitative Criminology
#138
of 527 outputs
Outputs of similar age
#19,684
of 180,319 outputs
Outputs of similar age from Journal of Quantitative Criminology
#1
of 2 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 527 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 73% 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 180,319 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 89% of its contemporaries.
We're also able to compare this research output to 2 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