| Title |
Models to Explain Fatigue during Prolonged Endurance Cycling
|
|---|---|
| Published in |
Sports Medicine, November 2012
|
| DOI | 10.2165/00007256-200535100-00004 |
| Pubmed ID | |
| Authors |
Chris R. Abbiss, Paul B. Laursen |
| Abstract |
Much of the previous research into understanding fatigue during prolonged cycling has found that cycling performance may be limited by numerous physiological, biomechanical, environmental, mechanical and psychological factors. From over 2000 manuscripts addressing the topic of fatigue, a number of diverse cause-and-effect models have been developed. These include the following models: (i) cardiovascular/anaerobic; (ii) energy supply/energy depletion; (iii) neuromuscular fatigue; (iv) muscle trauma; (v) biomechanical; (vi) thermoregulatory; (vii) psychological/motivational; and (viii) central governor. More recently, however, a complex systems model of fatigue has been proposed, whereby these aforementioned linear models provide afferent feedback that is integrated by a central governor into our unconscious perception of fatigue. This review outlines the more conventional linear models of fatigue and addresses specifically how these may influence the development of fatigue during cycling. The review concludes by showing how these linear models of fatigue might be integrated into a more recently proposed nonlinear complex systems model of exercise-induced fatigue. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 14% |
| Australia | 1 | 14% |
| Austria | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 71% |
| Members of the public | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 817 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 10 | 1% |
| Brazil | 7 | <1% |
| United States | 6 | <1% |
| Malaysia | 3 | <1% |
| Spain | 3 | <1% |
| South Africa | 3 | <1% |
| Chile | 1 | <1% |
| France | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 6 | <1% |
| Unknown | 776 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 167 | 20% |
| Student > Ph. D. Student | 140 | 17% |
| Student > Bachelor | 131 | 16% |
| Researcher | 56 | 7% |
| Student > Postgraduate | 36 | 4% |
| Other | 134 | 16% |
| Unknown | 153 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 389 | 48% |
| Medicine and Dentistry | 68 | 8% |
| Agricultural and Biological Sciences | 50 | 6% |
| Engineering | 34 | 4% |
| Nursing and Health Professions | 26 | 3% |
| Other | 74 | 9% |
| Unknown | 176 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 01 December 2023.
All research outputs
#1,704,014
of 25,374,917 outputs
Outputs from Sports Medicine
#1,273
of 2,875 outputs
Outputs of similar age
#14,505
of 285,955 outputs
Outputs of similar age from Sports Medicine
#127
of 525 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 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,875 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.8. This one has gotten more attention than average, scoring higher than 55% 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 285,955 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 94% of its contemporaries.
We're also able to compare this research output to 525 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.