Advances in Computational Intelligence
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Comparative Study on Approaches to Acoustic Scene Classification Using CNNs
|
|---|---|
| Book title |
Advances in Computational Intelligence
|
| Published in |
arXiv, October 2021
|
| DOI | 10.1007/978-3-030-89817-5_6 |
| Book ISBNs |
978-3-03-089816-8, 978-3-03-089817-5
|
| Authors |
Ananya, Ishrat Jahan, Suad, Sarah, Choudhury, Shadab Hafiz, Khan, Mohammad Ashrafuzzaman, Ishrat Jahan Ananya, Sarah Suad, Shadab Hafiz Choudhury, Mohammad Ashrafuzzaman Khan |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 17% |
| Japan | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 17% |
| Student > Master | 2 | 17% |
| Student > Doctoral Student | 1 | 8% |
| Unknown | 7 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 33% |
| Engineering | 1 | 8% |
| Unknown | 7 | 58% |
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 27 April 2022.
All research outputs
#14,095,539
of 24,093,053 outputs
Outputs from arXiv
#219,358
of 1,020,419 outputs
Outputs of similar age
#188,793
of 428,349 outputs
Outputs of similar age from arXiv
#8,001
of 36,222 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 76% 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 428,349 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 54% of its contemporaries.
We're also able to compare this research output to 36,222 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.