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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inertial Sensor Technology for Elite Swimming Performance Analysis: A Systematic Review
|
|---|---|
| Published in |
Sensors, December 2015
|
| DOI | 10.3390/s16010018 |
| Pubmed ID | |
| Authors |
Robert Mooney, Gavin Corley, Alan Godfrey, Leo R Quinlan, Gearóid ÓLaighin |
| Abstract |
Technical evaluation of swimming performance is an essential factor of elite athletic preparation. Novel methods of analysis, incorporating body worn inertial sensors (i.e., Microelectromechanical systems, or MEMS, accelerometers and gyroscopes), have received much attention recently from both research and commercial communities as an alternative to video-based approaches. This technology may allow for improved analysis of stroke mechanics, race performance and energy expenditure, as well as real-time feedback to the coach, potentially enabling more efficient, competitive and quantitative coaching. The aim of this paper is to provide a systematic review of the literature related to the use of inertial sensors for the technical analysis of swimming performance. This paper focuses on providing an evaluation of the accuracy of different feature detection algorithms described in the literature for the analysis of different phases of swimming, specifically starts, turns and free-swimming. The consequences associated with different sensor attachment locations are also considered for both single and multiple sensor configurations. Additional information such as this should help practitioners to select the most appropriate systems and methods for extracting the key performance related parameters that are important to them for analysing their swimmers' performance and may serve to inform both applied and research practices. |
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 | 2 | 18% |
| Italy | 1 | 9% |
| Venezuela, Bolivarian Republic of | 1 | 9% |
| Brazil | 1 | 9% |
| Portugal | 1 | 9% |
| Switzerland | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Scientists | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | <1% |
| Netherlands | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 304 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 49 | 16% |
| Student > Ph. D. Student | 48 | 16% |
| Student > Bachelor | 45 | 15% |
| Researcher | 34 | 11% |
| Professor > Associate Professor | 13 | 4% |
| Other | 45 | 15% |
| Unknown | 75 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 90 | 29% |
| Engineering | 57 | 18% |
| Computer Science | 12 | 4% |
| Medicine and Dentistry | 11 | 4% |
| Nursing and Health Professions | 10 | 3% |
| Other | 37 | 12% |
| Unknown | 92 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 05 May 2020.
All research outputs
#4,159,040
of 25,374,917 outputs
Outputs from Sensors
#1,573
of 24,303 outputs
Outputs of similar age
#64,827
of 396,898 outputs
Outputs of similar age from Sensors
#19
of 198 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,303 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 93% 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 396,898 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 83% of its contemporaries.
We're also able to compare this research output to 198 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.