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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
|
|---|---|
| Published in |
npj Digital Medicine, April 2024
|
| DOI | 10.1038/s41746-024-01062-3 |
| Pubmed ID | |
| Authors |
Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, Aidan Acquah, David A. Clifton, Aiden Doherty |
X Demographics
The data shown below were collected from the profiles of 91 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 States | 13 | 14% |
| United Kingdom | 12 | 13% |
| India | 3 | 3% |
| Mexico | 2 | 2% |
| Colombia | 2 | 2% |
| Thailand | 2 | 2% |
| Nigeria | 2 | 2% |
| Saudi Arabia | 2 | 2% |
| Spain | 1 | 1% |
| Other | 13 | 14% |
| Unknown | 39 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 64 | 70% |
| Scientists | 18 | 20% |
| Practitioners (doctors, other healthcare professionals) | 5 | 5% |
| Science communicators (journalists, bloggers, editors) | 4 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 29% |
| Researcher | 2 | 29% |
| Unspecified | 1 | 14% |
| Other | 1 | 14% |
| Professor > Associate Professor | 1 | 14% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 43% |
| Computer Science | 2 | 29% |
| Unspecified | 1 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 77. 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 22 April 2024.
All research outputs
#565,079
of 25,779,988 outputs
Outputs from npj Digital Medicine
#179
of 1,033 outputs
Outputs of similar age
#4,761
of 202,150 outputs
Outputs of similar age from npj Digital Medicine
#5
of 53 outputs
Altmetric has tracked 25,779,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one has done well, scoring higher than 82% 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 202,150 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 53 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 90% of its contemporaries.