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Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention

Overview of attention for article published in Visual Computing for Industry, Biomedicine, and Art, April 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
241 Mendeley
Title
Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention
Published in
Visual Computing for Industry, Biomedicine, and Art, April 2021
DOI 10.1186/s42492-021-00075-z
Pubmed ID
Authors

Neil Shah, Nandish Bhagat, Manan Shah

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 241 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 7%
Student > Bachelor 13 5%
Other 9 4%
Lecturer 7 3%
Student > Ph. D. Student 7 3%
Other 30 12%
Unknown 158 66%
Readers by discipline Count As %
Computer Science 33 14%
Engineering 13 5%
Social Sciences 7 3%
Unspecified 6 2%
Business, Management and Accounting 4 2%
Other 18 7%
Unknown 160 66%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 January 2024.
All research outputs
#7,784,902
of 25,387,668 outputs
Outputs from Visual Computing for Industry, Biomedicine, and Art
#10
of 48 outputs
Outputs of similar age
#163,715
of 453,918 outputs
Outputs of similar age from Visual Computing for Industry, Biomedicine, and Art
#2
of 4 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 48 research outputs from this source. They receive a mean Attention Score of 2.9. This one scored the same or higher as 38 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 453,918 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.