You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Speech Emotion Recognition Considering Local Dynamic Features
|
|---|---|
| Chapter number | 2 |
| Book title |
Studies on Speech Production
|
| Published in |
arXiv, October 2017
|
| DOI | 10.1007/978-3-030-00126-1_2 |
| Book ISBNs |
978-3-03-000125-4, 978-3-03-000126-1
|
| Authors |
Haotian Guan, Zhilei Liu, Longbiao Wang, Jianwu Dang, Ruiguo Yu, Guan, Haotian, Liu, Zhilei, Wang, Longbiao, Dang, Jianwu, Yu, Ruiguo |
X Demographics
The data shown below were collected from the profiles of 10 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 Kingdom | 1 | 10% |
| United States | 1 | 10% |
| Germany | 1 | 10% |
| Unknown | 7 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 1 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 11% |
| Student > Master | 3 | 11% |
| Professor > Associate Professor | 3 | 11% |
| Researcher | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 10 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 33% |
| Engineering | 5 | 19% |
| Physics and Astronomy | 1 | 4% |
| Linguistics | 1 | 4% |
| Unknown | 11 | 41% |
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 05 April 2018.
All research outputs
#7,978,368
of 24,002,307 outputs
Outputs from arXiv
#179,570
of 1,011,770 outputs
Outputs of similar age
#125,458
of 329,220 outputs
Outputs of similar age from arXiv
#3,806
of 22,010 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. 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 329,220 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 22,010 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.