| Title |
Running speed during training and percent body fat predict race time in recreational male marathoners
|
|---|---|
| Published in |
Open Access Journal of Sports Medicine, July 2012
|
| DOI | 10.2147/oajsm.s33284 |
| Pubmed ID | |
| Authors |
Ursula Barandun, Beat Knechtle, Patrizia Knechtle, Andreas Klipstein, Christoph Alexander Rüst, Thomas Rosemann, Romuald Lepers |
| Abstract |
Recent studies have shown that personal best marathon time is a strong predictor of race time in male ultramarathoners. We aimed to determine variables predictive of marathon race time in recreational male marathoners by using the same characteristics of anthropometry and training as used for ultramarathoners. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 5 | 42% |
| United Kingdom | 2 | 17% |
| Canada | 1 | 8% |
| China | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 94 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 22% |
| Student > Ph. D. Student | 12 | 13% |
| Student > Bachelor | 11 | 11% |
| Researcher | 8 | 8% |
| Student > Postgraduate | 7 | 7% |
| Other | 18 | 19% |
| Unknown | 19 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 29 | 30% |
| Medicine and Dentistry | 12 | 13% |
| Agricultural and Biological Sciences | 6 | 6% |
| Computer Science | 5 | 5% |
| Nursing and Health Professions | 4 | 4% |
| Other | 19 | 20% |
| Unknown | 21 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 July 2023.
All research outputs
#3,470,026
of 24,171,551 outputs
Outputs from Open Access Journal of Sports Medicine
#74
of 254 outputs
Outputs of similar age
#22,709
of 166,323 outputs
Outputs of similar age from Open Access Journal of Sports Medicine
#1
of 6 outputs
Altmetric has tracked 24,171,551 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 254 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 71% 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 166,323 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 86% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them