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The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data

Overview of attention for article published in Health Information Science and Systems, September 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

news
7 news outlets
blogs
1 blog

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
86 Mendeley
Title
The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data
Published in
Health Information Science and Systems, September 2018
DOI 10.1007/s13755-018-0051-3
Pubmed ID
Authors

Richard A. Bauder, Taghi M. Khoshgoftaar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 12%
Student > Ph. D. Student 9 10%
Lecturer 9 10%
Researcher 6 7%
Student > Doctoral Student 4 5%
Other 8 9%
Unknown 40 47%
Readers by discipline Count As %
Computer Science 20 23%
Engineering 5 6%
Business, Management and Accounting 4 5%
Economics, Econometrics and Finance 3 3%
Decision Sciences 3 3%
Other 12 14%
Unknown 39 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 06 November 2018.
All research outputs
#640,512
of 23,109,468 outputs
Outputs from Health Information Science and Systems
#3
of 97 outputs
Outputs of similar age
#15,212
of 335,674 outputs
Outputs of similar age from Health Information Science and Systems
#1
of 4 outputs
Altmetric has tracked 23,109,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 97 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 96% 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 335,674 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% 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 all of them