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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Speaker Diarization using Deep Recurrent Convolutional Neural Networks
for Speaker Embeddings
|
|---|---|
| Chapter number | 10 |
| Book title |
Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017
|
| Published in |
arXiv, August 2017
|
| DOI | 10.1007/978-3-319-67220-5_10 |
| Book ISBNs |
978-3-31-967219-9, 978-3-31-967220-5
|
| Authors |
Pawel Cyrta, Tomasz Trzciński, Wojciech Stokowiec |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 13% |
| Poland | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 22% |
| Student > Ph. D. Student | 10 | 15% |
| Researcher | 8 | 12% |
| Student > Bachelor | 7 | 10% |
| Other | 6 | 9% |
| Other | 13 | 19% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 54% |
| Engineering | 15 | 22% |
| Mathematics | 1 | 1% |
| Agricultural and Biological Sciences | 1 | 1% |
| Business, Management and Accounting | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 11 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 11 August 2017.
All research outputs
#6,053,377
of 23,971,024 outputs
Outputs from arXiv
#124,124
of 1,005,531 outputs
Outputs of similar age
#92,015
of 320,427 outputs
Outputs of similar age from arXiv
#2,245
of 20,016 outputs
Altmetric has tracked 23,971,024 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,005,531 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 87% 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 320,427 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 71% of its contemporaries.
We're also able to compare this research output to 20,016 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.