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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
A Robust Deep Ensemble Classifier for Figurative Language Detection
|
---|---|
Chapter number | 14 |
Book title |
Engineering Applications of Neural Networks
|
Published in |
arXiv, May 2019
|
DOI | 10.1007/978-3-030-20257-6_14 |
Book ISBNs |
978-3-03-020256-9, 978-3-03-020257-6
|
Authors |
Rolandos-Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis, Rolandos Alexandros Potamias, Andreas - Georgios Stafylopatis |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 14% |
Unknown | 6 | 86% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 17% |
Other | 2 | 8% |
Researcher | 2 | 8% |
Student > Master | 2 | 8% |
Lecturer | 1 | 4% |
Other | 1 | 4% |
Unknown | 12 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 25% |
Philosophy | 1 | 4% |
Linguistics | 1 | 4% |
Engineering | 1 | 4% |
Unknown | 15 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 February 2022.
All research outputs
#14,393,409
of 23,511,526 outputs
Outputs from arXiv
#262,092
of 972,877 outputs
Outputs of similar age
#186,752
of 351,173 outputs
Outputs of similar age from arXiv
#7,876
of 27,828 outputs
Altmetric has tracked 23,511,526 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 972,877 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 70% 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 351,173 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27,828 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.