↓ Skip to main content

Claims fraud detection with uncertain labels

Overview of attention for article published in Advances in Data Analysis and Classification, November 2023
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 105)
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
3 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Claims fraud detection with uncertain labels
Published in
Advances in Data Analysis and Classification, November 2023
DOI 10.1007/s11634-023-00568-0
Authors

Félix Vandervorst, Wouter Verbeke, Tim Verdonck

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Business, Management and Accounting 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 26 December 2023.
All research outputs
#4,744,085
of 25,058,309 outputs
Outputs from Advances in Data Analysis and Classification
#11
of 105 outputs
Outputs of similar age
#51,606
of 261,367 outputs
Outputs of similar age from Advances in Data Analysis and Classification
#1
of 3 outputs
Altmetric has tracked 25,058,309 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 105 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 90% 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 261,367 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 79% of its contemporaries.
We're also able to compare this research output to 3 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