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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
A Recurrent Neural Network Survival Model: Predicting Web User Return Time
|
---|---|
Chapter number | 10 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published in |
arXiv, September 2018
|
DOI | 10.1007/978-3-030-10997-4_10 |
Book ISBNs |
978-3-03-010996-7, 978-3-03-010997-4
|
Authors |
Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain, Grob, Georg L., Cardoso, Ângelo, Liu, C. H. Bryan, Little, Duncan A., Chamberlain, Benjamin Paul |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Greece | 1 | 11% |
Canada | 1 | 11% |
Australia | 1 | 11% |
Unknown | 6 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 89% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 59 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 22% |
Student > Ph. D. Student | 13 | 22% |
Student > Master | 10 | 17% |
Student > Doctoral Student | 5 | 8% |
Student > Bachelor | 5 | 8% |
Other | 5 | 8% |
Unknown | 8 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 31 | 53% |
Engineering | 6 | 10% |
Physics and Astronomy | 3 | 5% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Medicine and Dentistry | 2 | 3% |
Other | 4 | 7% |
Unknown | 11 | 19% |
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 24 July 2018.
All research outputs
#7,478,751
of 24,099,692 outputs
Outputs from arXiv
#159,818
of 1,020,419 outputs
Outputs of similar age
#125,612
of 340,805 outputs
Outputs of similar age from arXiv
#4,297
of 24,357 outputs
Altmetric has tracked 24,099,692 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 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 83% 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 340,805 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 62% of its contemporaries.
We're also able to compare this research output to 24,357 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.