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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Customer churn prediction in telecom using machine learning in big data platform
|
|---|---|
| Published in |
Journal of Big Data, March 2019
|
| DOI | 10.1186/s40537-019-0191-6 |
| Authors |
Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Syrian Arab Republic | 2 | 13% |
| France | 2 | 13% |
| Morocco | 1 | 6% |
| Egypt | 1 | 6% |
| Denmark | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 8 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 88% |
| Scientists | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 672 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 672 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 82 | 12% |
| Student > Bachelor | 59 | 9% |
| Student > Ph. D. Student | 47 | 7% |
| Lecturer | 26 | 4% |
| Researcher | 19 | 3% |
| Other | 72 | 11% |
| Unknown | 367 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 154 | 23% |
| Engineering | 44 | 7% |
| Business, Management and Accounting | 36 | 5% |
| Unspecified | 15 | 2% |
| Social Sciences | 10 | 1% |
| Other | 48 | 7% |
| Unknown | 365 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 25 January 2022.
All research outputs
#1,803,923
of 24,962,233 outputs
Outputs from Journal of Big Data
#42
of 378 outputs
Outputs of similar age
#40,537
of 357,921 outputs
Outputs of similar age from Journal of Big Data
#5
of 16 outputs
Altmetric has tracked 24,962,233 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 378 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 done well, scoring higher than 89% 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 357,921 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.