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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 (69th percentile)

Mentioned by

twitter
10 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
100 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

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 20%
Student > Ph. D. Student 11 11%
Researcher 7 7%
Student > Bachelor 7 7%
Student > Doctoral Student 4 4%
Other 14 14%
Unknown 37 37%
Readers by discipline Count As %
Computer Science 19 19%
Business, Management and Accounting 16 16%
Engineering 9 9%
Social Sciences 4 4%
Economics, Econometrics and Finance 2 2%
Other 7 7%
Unknown 43 43%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 21 October 2018.
All research outputs
#5,227,025
of 21,995,459 outputs
Outputs from EPJ Data Science
#273
of 365 outputs
Outputs of similar age
#104,619
of 345,777 outputs
Outputs of similar age from EPJ Data Science
#48
of 50 outputs
Altmetric has tracked 21,995,459 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 365 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one is in the 25th percentile – i.e., 25% 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 345,777 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 69% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.