| Title |
Do we really need a central governor to explain brain regulation of exercise performance?
|
|---|---|
| Published in |
European Journal of Applied Physiology, July 2008
|
| DOI | 10.1007/s00421-008-0818-3 |
| Pubmed ID | |
| Authors |
Samuele M. Marcora |
| Abstract |
In this paper two different models of brain regulation of exercise performance are critically compared: the central governor model proposed by Noakes and colleagues, and an alternative psycholobiological model based on motivational intensity theory. |
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 | 3 | 50% |
| Canada | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 402 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 1% |
| United Kingdom | 5 | 1% |
| Brazil | 4 | <1% |
| South Africa | 2 | <1% |
| Austria | 1 | <1% |
| Switzerland | 1 | <1% |
| Chile | 1 | <1% |
| Spain | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 381 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 80 | 20% |
| Student > Ph. D. Student | 73 | 18% |
| Student > Bachelor | 54 | 13% |
| Researcher | 33 | 8% |
| Student > Postgraduate | 24 | 6% |
| Other | 85 | 21% |
| Unknown | 53 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 174 | 43% |
| Psychology | 41 | 10% |
| Medicine and Dentistry | 35 | 9% |
| Agricultural and Biological Sciences | 27 | 7% |
| Neuroscience | 10 | 2% |
| Other | 41 | 10% |
| Unknown | 74 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 10 April 2023.
All research outputs
#1,180,529
of 25,374,647 outputs
Outputs from European Journal of Applied Physiology
#366
of 4,345 outputs
Outputs of similar age
#2,621
of 95,500 outputs
Outputs of similar age from European Journal of Applied Physiology
#1
of 24 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done particularly well, scoring higher than 91% 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 95,500 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 97% of its contemporaries.
We're also able to compare this research output to 24 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 95% of its contemporaries.