| Title |
A multi-sensor system for automatic analysis of classical cross-country skiing techniques
|
|---|---|
| Published in |
Sports Engineering, October 2017
|
| DOI | 10.1007/s12283-017-0252-z |
| Authors |
Trine M. Seeberg, Johannes Tjønnås, Ole Marius Hoel Rindal, Pål Haugnes, Steffen Dalgard, Øyvind Sandbakk |
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% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 2 | 33% |
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 > Master | 10 | 20% |
| Unspecified | 9 | 18% |
| Student > Bachelor | 5 | 10% |
| Researcher | 5 | 10% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 14 | 29% |
| Unspecified | 8 | 16% |
| Engineering | 8 | 16% |
| Linguistics | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 14 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 January 2023.
All research outputs
#1,535,588
of 24,171,511 outputs
Outputs from Sports Engineering
#23
of 374 outputs
Outputs of similar age
#31,588
of 328,581 outputs
Outputs of similar age from Sports Engineering
#4
of 15 outputs
Altmetric has tracked 24,171,511 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 374 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 94% 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 328,581 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 90% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.