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Examining the impact of cross-domain learning on crime prediction

Overview of attention for article published in Journal of Big Data, July 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

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7 Dimensions

Readers on

mendeley
19 Mendeley
Title
Examining the impact of cross-domain learning on crime prediction
Published in
Journal of Big Data, July 2021
DOI 10.1186/s40537-021-00489-9
Pubmed ID
Authors

Fateha Khanam Bappee, Amilcar Soares, Lucas May Petry, Stan Matwin

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 11%
Student > Master 2 11%
Student > Doctoral Student 2 11%
Student > Ph. D. Student 1 5%
Unknown 12 63%
Readers by discipline Count As %
Earth and Planetary Sciences 2 11%
Computer Science 2 11%
Environmental Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 11 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 December 2021.
All research outputs
#13,182,656
of 22,769,322 outputs
Outputs from Journal of Big Data
#146
of 335 outputs
Outputs of similar age
#188,468
of 438,211 outputs
Outputs of similar age from Journal of Big Data
#7
of 14 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 335 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 55% 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 438,211 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 56% of its contemporaries.
We're also able to compare this research output to 14 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 50% of its contemporaries.