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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Recursive Style Breach Detection with Multifaceted Ensemble Learning
|
|---|---|
| Chapter number | 12 |
| Book title |
Artificial Intelligence: Methodology, Systems, and Applications
|
| Published in |
arXiv, September 2018
|
| DOI | 10.1007/978-3-319-99344-7_12 |
| Book ISBNs |
978-3-31-999343-0, 978-3-31-999344-7
|
| Authors |
Daniel Kopev, Dimitrina Zlatkova, Kristiyan Mitov, Atanas Atanasov, Momchil Hardalov, Ivan Koychev, Preslav Nakov, Kopev, Daniel, Zlatkova, Dimitrina, Mitov, Kristiyan, Atanasov, Atanas, Hardalov, Momchil, Koychev, Ivan, Nakov, Preslav |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Researcher | 2 | 22% |
| Professor | 1 | 11% |
| Lecturer | 1 | 11% |
| Student > Postgraduate | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 56% |
| Economics, Econometrics and Finance | 1 | 11% |
| Engineering | 1 | 11% |
| Unknown | 2 | 22% |
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 18 June 2019.
All research outputs
#16,273,605
of 23,978,545 outputs
Outputs from arXiv
#405,089
of 1,010,913 outputs
Outputs of similar age
#217,798
of 340,978 outputs
Outputs of similar age from arXiv
#13,193
of 24,620 outputs
Altmetric has tracked 23,978,545 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,010,913 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 52% 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 340,978 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,620 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.