Title |
Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity
|
---|---|
Published in |
International Journal of Behavioral Nutrition and Physical Activity, February 2013
|
DOI | 10.1186/1479-5868-10-22 |
Pubmed ID | |
Authors |
Aiden R Doherty, Paul Kelly, Jacqueline Kerr, Simon Marshall, Melody Oliver, Hannah Badland, Alexander Hamilton, Charlie Foster |
Abstract |
Accelerometers can identify certain physical activity behaviours, but not the context in which they take place. This study investigates the feasibility of wearable cameras to objectively categorise the behaviour type and context of participants' accelerometer-identified episodes of activity. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 7 | 64% |
Australia | 1 | 9% |
Canada | 1 | 9% |
United States | 1 | 9% |
Unknown | 1 | 9% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 64% |
Scientists | 3 | 27% |
Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 3% |
United States | 4 | 2% |
Germany | 2 | 1% |
Italy | 1 | <1% |
Turkey | 1 | <1% |
Unknown | 159 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 22% |
Researcher | 30 | 17% |
Student > Master | 21 | 12% |
Student > Bachelor | 14 | 8% |
Student > Doctoral Student | 11 | 6% |
Other | 37 | 21% |
Unknown | 22 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 26 | 15% |
Medicine and Dentistry | 23 | 13% |
Engineering | 16 | 9% |
Sports and Recreations | 15 | 9% |
Computer Science | 14 | 8% |
Other | 44 | 25% |
Unknown | 35 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 23 February 2013.
All research outputs
#2,284,967
of 25,374,917 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#815
of 2,116 outputs
Outputs of similar age
#22,708
of 296,588 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#14
of 40 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,116 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.5. This one has gotten more attention than average, scoring higher than 61% 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 296,588 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 92% of its contemporaries.
We're also able to compare this research output to 40 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 65% of its contemporaries.