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X Demographics
Mendeley readers
Attention Score in Context
Title |
Generative Adversarial Phonology: Modeling Unsupervised Phonetic and Phonological Learning With Neural Networks
|
---|---|
Published in |
arXiv, July 2020
|
DOI | 10.3389/frai.2020.00044 |
Pubmed ID | |
Authors |
Gašper Beguš |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 16% |
Nigeria | 1 | 5% |
Switzerland | 1 | 5% |
Unknown | 14 | 74% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 58% |
Scientists | 7 | 37% |
Unknown | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 16% |
Student > Ph. D. Student | 5 | 16% |
Researcher | 3 | 10% |
Lecturer | 2 | 6% |
Professor | 2 | 6% |
Other | 4 | 13% |
Unknown | 10 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Linguistics | 8 | 26% |
Computer Science | 4 | 13% |
Engineering | 2 | 6% |
Neuroscience | 2 | 6% |
Psychology | 1 | 3% |
Other | 1 | 3% |
Unknown | 13 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 09 August 2022.
All research outputs
#3,285,516
of 25,856,138 outputs
Outputs from arXiv
#54,006
of 950,121 outputs
Outputs of similar age
#83,896
of 431,878 outputs
Outputs of similar age from arXiv
#1,747
of 25,566 outputs
Altmetric has tracked 25,856,138 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 950,121 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 94% 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 431,878 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 25,566 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.