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
| Title |
Applying Deep Learning Techniques to Estimate Patterns of Musical Gesture
|
|---|---|
| Published in |
Frontiers in Psychology, January 2021
|
| DOI | 10.3389/fpsyg.2020.575971 |
| Pubmed ID | |
| Authors |
David Dalmazzo, George Waddell, Rafael Ramírez |
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 | 2 | 20% |
| United States | 1 | 10% |
| Switzerland | 1 | 10% |
| India | 1 | 10% |
| Sweden | 1 | 10% |
| Spain | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 7 | 29% |
| Lecturer | 3 | 13% |
| Researcher | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 6 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 7 | 29% |
| Computer Science | 4 | 17% |
| Engineering | 3 | 13% |
| Environmental Science | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 June 2021.
All research outputs
#5,348,500
of 25,918,104 outputs
Outputs from Frontiers in Psychology
#8,628
of 34,794 outputs
Outputs of similar age
#136,911
of 530,644 outputs
Outputs of similar age from Frontiers in Psychology
#310
of 924 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,794 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done well, scoring higher than 75% 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 530,644 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 74% of its contemporaries.
We're also able to compare this research output to 924 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 66% of its contemporaries.