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 Running speed during training and percent body fat predict race time in recreational male marathoners

Overview of attention for article published in Open Access Journal of Sports Medicine, July 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
12 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
60 Mendeley
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

Beat Knechtle, Barandun, Knechtle, Klipstein, 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.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Poland 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 25%
Student > Ph. D. Student 9 15%
Student > Bachelor 7 12%
Researcher 6 10%
Student > Postgraduate 6 10%
Other 11 18%
Unknown 6 10%
Readers by discipline Count As %
Sports and Recreations 23 38%
Medicine and Dentistry 9 15%
Agricultural and Biological Sciences 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Computer Science 3 5%
Other 9 15%
Unknown 9 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 May 2019.
All research outputs
#2,146,882
of 14,776,086 outputs
Outputs from Open Access Journal of Sports Medicine
#59
of 217 outputs
Outputs of similar age
#17,436
of 124,772 outputs
Outputs of similar age from Open Access Journal of Sports Medicine
#1
of 5 outputs
Altmetric has tracked 14,776,086 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 217 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 72% 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 124,772 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 85% of its contemporaries.
We're also able to compare this research output to 5 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