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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Head motion classification using thread-based sensor and machine learning algorithm
|
|---|---|
| Published in |
Scientific Reports, January 2021
|
| DOI | 10.1038/s41598-021-81284-7 |
| Pubmed ID | |
| Authors |
Yiwen Jiang, Aydin Sadeqi, Eric L. Miller, Sameer Sonkusale |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| Thailand | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 14% |
| Professor | 5 | 10% |
| Researcher | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 21 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 27% |
| Computer Science | 6 | 12% |
| Medicine and Dentistry | 3 | 6% |
| Chemistry | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 19 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 165. 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 26 February 2021.
All research outputs
#216,593
of 23,509,982 outputs
Outputs from Scientific Reports
#2,519
of 127,150 outputs
Outputs of similar age
#6,756
of 506,900 outputs
Outputs of similar age from Scientific Reports
#114
of 4,488 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 127,150 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 98% 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 506,900 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 98% of its contemporaries.
We're also able to compare this research output to 4,488 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 97% of its contemporaries.