| Title |
Comparison of semi-supervised deep learning algorithms for audio classification
|
|---|---|
| Published in |
EURASIP Journal on Audio, Speech, and Music Processing, September 2022
|
| DOI | 10.1186/s13636-022-00255-6 |
| Authors |
Léo Cances, Etienne Labbé, Thomas Pellegrini |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 20% |
| Student > Ph. D. Student | 2 | 13% |
| Professor | 1 | 7% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 33% |
| Engineering | 2 | 13% |
| Physics and Astronomy | 1 | 7% |
| Unknown | 7 | 47% |
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 23 September 2022.
All research outputs
#14,488,785
of 25,392,582 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#69
of 131 outputs
Outputs of similar age
#172,256
of 435,194 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#2
of 3 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 131 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 435,194 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 60% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.