You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
Chapter title |
Customer Churn Prediction in Telecommunication Industry: With and without Counter-Example
|
---|---|
Chapter number | 19 |
Book title |
Nature-Inspired Computation and Machine Learning
|
Published in |
Lecture notes in computer science, November 2014
|
DOI | 10.1007/978-3-319-13650-9_19 |
Book ISBNs |
978-3-31-913649-3, 978-3-31-913650-9
|
Authors |
Adnan Amin, Changez Khan, Imtiaz Ali, Sajid Anwar |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 67% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 67% |
Unknown | 1 | 33% |
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 10 November 2014.
All research outputs
#20,242,136
of 22,769,322 outputs
Outputs from Lecture notes in computer science
#6,980
of 8,123 outputs
Outputs of similar age
#193,104
of 231,967 outputs
Outputs of similar age from Lecture notes in computer science
#117
of 136 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 231,967 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.