↓ Skip to main content

Age group performances in 100 km and 100 miles ultra-marathons

Overview of attention for article published in SpringerPlus, July 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
21 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Age group performances in 100 km and 100 miles ultra-marathons
Published in
SpringerPlus, July 2014
DOI 10.1186/2193-1801-3-331
Pubmed ID
Authors

Christoph A Rüst, Thomas Rosemann, Matthias A Zingg, Beat Knechtle

Abstract

Improved performance has been reported for master runners (i.e. athletes older than 40 years) in both single marathons and single ultra-marathons. This study investigated performance trends of age group ultra-marathoners competing in all 100 km and 100 miles races held worldwide between 1971 and 2013. Changes in running speeds across years were investigated for the annual ten fastest 5-year age group finishers using linear, non-linear and multi-level regression analyses. In 100 km, running speed remained unchanged in women in 25-29 years, increased non-linearly in 30-34 to 55-59 years, and linearly in 60-64 years. In men, running speed increased non-linearly in 18-24 to 60-64 years and linearly in 65-69 to 75-79 years. In 100 miles, running speed increased in women linearly in 25-29 and 30-34 years, non-linearly in 35-39 to 45-49 years, and linearly in 50-54 and 55-59 years. For men, running speed increased linearly in 18-24 years, non-linearly in 25-29 to 45-49 years, and linearly in 50-54 to 65-69 years. Overall, the faster race times over the last 30 years are a result of all top ten finishers getting faster. These findings suggest that athletes in younger to middle age groups (i.e. 25-35 to 50-65 years depending upon sex and distance) have reached their limits due to a non-linear increase in running speed whereas runners in very young (i.e. younger than 25-35 years) and older age groups (i.e. older than 50-65 years) depending upon sex and distance might still improve their performance due to a linear increase in running speed.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Netherlands 1 5%
Brazil 1 5%
Unknown 18 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Student > Bachelor 3 14%
Researcher 2 10%
Professor 2 10%
Professor > Associate Professor 2 10%
Other 6 29%
Unknown 3 14%
Readers by discipline Count As %
Sports and Recreations 7 33%
Medicine and Dentistry 7 33%
Nursing and Health Professions 1 5%
Social Sciences 1 5%
Environmental Science 1 5%
Other 0 0%
Unknown 4 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 July 2014.
All research outputs
#18,375,064
of 22,758,963 outputs
Outputs from SpringerPlus
#1,261
of 1,852 outputs
Outputs of similar age
#163,282
of 227,590 outputs
Outputs of similar age from SpringerPlus
#60
of 79 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 227,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.