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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning
|
---|---|
Chapter number | 13 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2018
|
Published in |
arXiv, October 2018
|
DOI | 10.1007/978-3-030-01424-7_13 |
Book ISBNs |
978-3-03-001423-0, 978-3-03-001424-7
|
Authors |
Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini, Marra, Giuseppe, Zugarini, Andrea, Melacci, Stefano, Maggini, Marco |
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 % |
---|---|---|
United States | 3 | 33% |
Unknown | 6 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 89% |
Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 33% |
Professor | 1 | 17% |
Student > Master | 1 | 17% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 50% |
Linguistics | 1 | 17% |
Unknown | 2 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 August 2019.
All research outputs
#14,044,167
of 24,998,746 outputs
Outputs from arXiv
#189,757
of 1,020,408 outputs
Outputs of similar age
#163,244
of 350,053 outputs
Outputs of similar age from arXiv
#5,072
of 23,409 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,408 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 81% 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 350,053 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 52% of its contemporaries.
We're also able to compare this research output to 23,409 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.