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Predictive analytics using big data for increased customer loyalty: Syriatel Telecom Company case study

Overview of attention for article published in Journal of Big Data, April 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
251 Mendeley
Title
Predictive analytics using big data for increased customer loyalty: Syriatel Telecom Company case study
Published in
Journal of Big Data, April 2020
DOI 10.1186/s40537-020-00290-0
Authors

Wissam Nazeer Wassouf, Ramez Alkhatib, Kamal Salloum, Shadi Balloul

X Demographics

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 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 251 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 13%
Lecturer 18 7%
Student > Ph. D. Student 16 6%
Student > Doctoral Student 9 4%
Student > Bachelor 9 4%
Other 34 14%
Unknown 132 53%
Readers by discipline Count As %
Computer Science 39 16%
Business, Management and Accounting 35 14%
Engineering 11 4%
Social Sciences 7 3%
Unspecified 5 2%
Other 14 6%
Unknown 140 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 June 2023.
All research outputs
#7,449,640
of 24,041,016 outputs
Outputs from Journal of Big Data
#130
of 363 outputs
Outputs of similar age
#144,592
of 378,938 outputs
Outputs of similar age from Journal of Big Data
#9
of 13 outputs
Altmetric has tracked 24,041,016 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 363 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 63% 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 378,938 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 61% of its contemporaries.
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 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.