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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sensor Data Required for Automatic Recognition of Athletic Tasks Using Deep Neural Networks
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, January 2020
|
| DOI | 10.3389/fbioe.2019.00473 |
| Pubmed ID | |
| Authors |
Allison L. Clouthier, Gwyneth B. Ross, Ryan B. Graham |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 43% |
| Switzerland | 1 | 14% |
| Mexico | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 86% |
| Members of the public | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 16% |
| Student > Ph. D. Student | 8 | 13% |
| Researcher | 7 | 11% |
| Student > Bachelor | 3 | 5% |
| Unspecified | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 23 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 20% |
| Sports and Recreations | 7 | 11% |
| Computer Science | 5 | 8% |
| Unspecified | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 27 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 January 2021.
All research outputs
#2,044,410
of 24,226,848 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#238
of 7,679 outputs
Outputs of similar age
#49,569
of 463,431 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#23
of 247 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,679 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 96% 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 463,431 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.