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Behavioral attributes and financial churn prediction

Overview of attention for article published in EPJ Data Science, October 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

twitter
10 X users
googleplus
1 Google+ user

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
123 Mendeley
Title
Behavioral attributes and financial churn prediction
Published in
EPJ Data Science, October 2018
DOI 10.1140/epjds/s13688-018-0165-5
Authors

Erdem Kaya, Xiaowen Dong, Yoshihiko Suhara, Selim Balcisoy, Burcin Bozkaya, Alex “Sandy” Pentland

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 17%
Student > Ph. D. Student 12 10%
Student > Bachelor 10 8%
Researcher 7 6%
Student > Doctoral Student 4 3%
Other 16 13%
Unknown 53 43%
Readers by discipline Count As %
Computer Science 22 18%
Business, Management and Accounting 17 14%
Engineering 10 8%
Social Sciences 5 4%
Economics, Econometrics and Finance 2 2%
Other 8 7%
Unknown 59 48%
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 06 February 2023.
All research outputs
#5,212,814
of 24,965,047 outputs
Outputs from EPJ Data Science
#299
of 420 outputs
Outputs of similar age
#97,142
of 355,867 outputs
Outputs of similar age from EPJ Data Science
#20
of 20 outputs
Altmetric has tracked 24,965,047 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 420 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.3. This one is in the 29th percentile – i.e., 29% 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 355,867 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 72% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.