| Title |
An orientation free adaptive step detection algorithm using a smart phone in physical activity monitoring
|
|---|---|
| Published in |
Health and Technology, October 2012
|
| DOI | 10.1007/s12553-012-0035-2 |
| Authors |
Yan Huang, Huiru Zheng, Chris Nugent, Paul McCullagh, Norman Black, William Burns, Mark A. Tully, Suzanne M. McDonough |
X Demographics
The data shown below were collected from the profiles of 5 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 | 40% |
| Australia | 2 | 40% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Luxembourg | 1 | 4% |
| Unknown | 21 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Researcher | 3 | 13% |
| Lecturer | 2 | 9% |
| Lecturer > Senior Lecturer | 2 | 9% |
| Other | 4 | 17% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 39% |
| Medicine and Dentistry | 4 | 17% |
| Nursing and Health Professions | 2 | 9% |
| Engineering | 2 | 9% |
| Social Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 31 October 2012.
All research outputs
#12,572,280
of 22,684,168 outputs
Outputs from Health and Technology
#77
of 225 outputs
Outputs of similar age
#94,387
of 183,259 outputs
Outputs of similar age from Health and Technology
#1
of 1 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 225 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 63% 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 183,259 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them