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Can we Trust Crime Predictors and Crime Categories? Expansions on the Potential Problem of Generalization

Overview of attention for article published in Applied Spatial Analysis and Policy, November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 223)
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
14 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Can we Trust Crime Predictors and Crime Categories? Expansions on the Potential Problem of Generalization
Published in
Applied Spatial Analysis and Policy, November 2019
DOI 10.1007/s12061-019-09323-5
Authors

Nathan T. Connealy

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 19%
Lecturer 2 10%
Student > Bachelor 2 10%
Other 2 10%
Researcher 2 10%
Other 4 19%
Unknown 5 24%
Readers by discipline Count As %
Social Sciences 8 38%
Psychology 4 19%
Agricultural and Biological Sciences 1 5%
Mathematics 1 5%
Engineering 1 5%
Other 0 0%
Unknown 6 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 July 2020.
All research outputs
#2,590,237
of 20,756,832 outputs
Outputs from Applied Spatial Analysis and Policy
#24
of 223 outputs
Outputs of similar age
#77,436
of 430,672 outputs
Outputs of similar age from Applied Spatial Analysis and Policy
#2
of 7 outputs
Altmetric has tracked 20,756,832 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 223 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 89% 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 430,672 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 81% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.