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Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization

Overview of attention for article published in International Journal of Data Science and Analytics, April 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
6 X users

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
101 Mendeley
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Title
Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization
Published in
International Journal of Data Science and Analytics, April 2018
DOI 10.1007/s41060-018-0116-z
Authors

Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi

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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 22%
Student > Ph. D. Student 9 9%
Lecturer 8 8%
Researcher 5 5%
Student > Bachelor 3 3%
Other 7 7%
Unknown 47 47%
Readers by discipline Count As %
Computer Science 28 28%
Engineering 6 6%
Business, Management and Accounting 4 4%
Economics, Econometrics and Finance 4 4%
Mathematics 3 3%
Other 6 6%
Unknown 50 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 April 2018.
All research outputs
#15,175,718
of 25,382,440 outputs
Outputs from International Journal of Data Science and Analytics
#79
of 253 outputs
Outputs of similar age
#181,683
of 342,873 outputs
Outputs of similar age from International Journal of Data Science and Analytics
#5
of 7 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 253 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 68% 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 342,873 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
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 2 of them.