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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effects of Physical Activity and Inactivity on Muscle Fatigue
|
|---|---|
| Published in |
Frontiers in Physiology, January 2012
|
| DOI | 10.3389/fphys.2012.00142 |
| Pubmed ID | |
| Authors |
Gregory C. Bogdanis |
| Abstract |
The aim of this review was to examine the mechanisms by which physical activity and inactivity modify muscle fatigue. It is well known that acute or chronic increases in physical activity result in structural, metabolic, hormonal, neural, and molecular adaptations that increase the level of force or power that can be sustained by a muscle. These adaptations depend on the type, intensity, and volume of the exercise stimulus, but recent studies have highlighted the role of high intensity, short-duration exercise as a time-efficient method to achieve both anaerobic and aerobic/endurance type adaptations. The factors that determine the fatigue profile of a muscle during intense exercise include muscle fiber composition, neuromuscular characteristics, high energy metabolite stores, buffering capacity, ionic regulation, capillarization, and mitochondrial density. Muscle fiber-type transformation during exercise training is usually toward the intermediate type IIA at the expense of both type I and IIx myosin heavy-chain isoforms. High-intensity training results in increases of both glycolytic and oxidative enzymes, muscle capillarization, improved phosphocreatine resynthesis and regulation of K(+), H(+), and lactate ions. Decreases of the habitual activity level due to injury or sedentary lifestyle result in partial or even compete reversal of the adaptations due to previous training, manifested by reductions in fiber cross-sectional area, decreased oxidative capacity, and capillarization. Complete immobilization due to injury results in markedly decreased force output and fatigue resistance. Muscle unloading reduces electromyographic activity and causes muscle atrophy and significant decreases in capillarization and oxidative enzymes activity. The last part of the review discusses the beneficial effects of intermittent high-intensity exercise training in patients with different health conditions to demonstrate the powerful effect of exercise on health and well being. |
X Demographics
The data shown below were collected from the profiles of 56 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 States | 17 | 30% |
| United Kingdom | 5 | 9% |
| Ireland | 3 | 5% |
| Spain | 2 | 4% |
| Canada | 2 | 4% |
| Nepal | 1 | 2% |
| Netherlands | 1 | 2% |
| India | 1 | 2% |
| Venezuela, Bolivarian Republic of | 1 | 2% |
| Other | 9 | 16% |
| Unknown | 14 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 48% |
| Practitioners (doctors, other healthcare professionals) | 18 | 32% |
| Scientists | 9 | 16% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 638 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | <1% |
| Spain | 2 | <1% |
| Brazil | 2 | <1% |
| Chile | 1 | <1% |
| Malaysia | 1 | <1% |
| Portugal | 1 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| Qatar | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 624 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 117 | 18% |
| Student > Master | 99 | 16% |
| Student > Ph. D. Student | 71 | 11% |
| Researcher | 47 | 7% |
| Student > Postgraduate | 28 | 4% |
| Other | 122 | 19% |
| Unknown | 154 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 146 | 23% |
| Medicine and Dentistry | 78 | 12% |
| Agricultural and Biological Sciences | 50 | 8% |
| Nursing and Health Professions | 43 | 7% |
| Engineering | 37 | 6% |
| Other | 106 | 17% |
| Unknown | 178 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 123. 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 26 August 2021.
All research outputs
#334,303
of 25,247,212 outputs
Outputs from Frontiers in Physiology
#186
of 15,514 outputs
Outputs of similar age
#1,720
of 255,611 outputs
Outputs of similar age from Frontiers in Physiology
#4
of 310 outputs
Altmetric has tracked 25,247,212 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,514 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 98% 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 255,611 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 99% of its contemporaries.
We're also able to compare this research output to 310 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 99% of its contemporaries.