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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, November 2020
|
| DOI | 10.3389/fncom.2020.573554 |
| Pubmed ID | |
| Authors |
Bernd J. Kröger, Catharina Marie Stille, Peter Blouw, Trevor Bekolay, Terrence C. Stewart |
X Demographics
The data shown below were collected from the profiles of 5 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 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 18% |
| Unspecified | 1 | 9% |
| Lecturer > Senior Lecturer | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 3 | 27% |
| Neuroscience | 2 | 18% |
| Unspecified | 1 | 9% |
| Nursing and Health Professions | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 3 | 27% |
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 25 August 2022.
All research outputs
#5,709,630
of 23,172,045 outputs
Outputs from Frontiers in Computational Neuroscience
#261
of 1,362 outputs
Outputs of similar age
#121,986
of 415,038 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#7
of 26 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,362 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 80% 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 415,038 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 70% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.