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A new VIKOR-based in-sample-out-of-sample classifier with application in bankruptcy prediction

Overview of attention for article published in Annals of Operations Research, April 2019
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1 X user

Citations

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Readers on

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42 Mendeley
Title
A new VIKOR-based in-sample-out-of-sample classifier with application in bankruptcy prediction
Published in
Annals of Operations Research, April 2019
DOI 10.1007/s10479-019-03223-0
Authors

Jamal Ouenniche, Kais Bouslah, Blanca Perez-Gladish, Bing Xu

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X Demographics

The data shown below were collected from the profile of 1 X user 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 10%
Student > Ph. D. Student 4 10%
Lecturer 4 10%
Student > Master 3 7%
Student > Bachelor 2 5%
Other 7 17%
Unknown 18 43%
Readers by discipline Count As %
Business, Management and Accounting 6 14%
Engineering 6 14%
Economics, Econometrics and Finance 3 7%
Computer Science 2 5%
Agricultural and Biological Sciences 2 5%
Other 5 12%
Unknown 18 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 April 2019.
All research outputs
#15,569,433
of 23,142,049 outputs
Outputs from Annals of Operations Research
#368
of 733 outputs
Outputs of similar age
#219,802
of 352,701 outputs
Outputs of similar age from Annals of Operations Research
#5
of 13 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 733 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 352,701 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.