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Cited by 16

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Physiological Predictors of Maximal Incremental Running Performance

Lanferdini, Fábio J., Silva, Edson S., Machado, Esthevan, Fischer, Gabriela, Peyré-Tartaruga, Leonardo A.·2020·Frontiers in Physiology
DOI 10.3389/fphys.2020.00979
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Research works printed but not linked: 27

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  2. Balsalobre-Fernandez, 2016, Effects of strength training on running economy in highly trained runners: a systematic review with meta-analysis of controlled trials., J. Strength Cond. Res., 30, 2361, 10.1519/jsc.0000000000001316 · DOI
  3. Bassett, 2000, Limiting factors for maximum oxygen uptake and determinants of endurance performance., Med. Sci. Sports Exerc., 32, 70, 10.1097/00005768-200001000-00012 · DOI · Paper page
  4. Bentley, 2007, Incremental exercise test design and analysis: implications for performance diagnostics in endurance athletes., Sports Med., 37, 575, 10.2165/00007256-200737070-00002 · DOI · Paper page
  5. Bosco, 1983, Relationship between isokinetic performance and ballistic movement., Eur. J. Appl. Physiol. Occup. Physiol., 51, 357, 10.1007/bf00429072 · DOI
  6. Conley, 1980, Running economy and distance running performance of highly trained athletes., Med. Sci. Sports Exerc., 12, 357, 10.1249/00005768-198012050-00010 · doi:10.1249/00005768-198012050-00010 · Paper page
  7. Costill, 1973, Fractional utilization of the aerobic capacity during distance running., Med. Sci. Sports, 5, 248
  8. da Rosa, 2019, Landing-takeoff asymmetries applied to running mechanics: a new perspective for performance., Front. Physiol., 10, 10.3389/fphys.2019.00415 · doi:10.3389/fphys.2019.00415
  9. Daniels, 1985, A physiologist’s view of running economy., Med. Sci. Sports Exerc., 17, 332, 10.1249/00005768-198506000-00006 · DOI · Paper page
  10. di Prampero, 1986, The energetics of endurance running., Eur. J. Appl. Physiol. Occup. Physiol., 55, 259, 10.1007/bf02343797 · DOI · Paper page
  11. Dormann, 2012, Collinearity: a review of methods to deal with it and a simulation study evaluating their performance., Ecography, 36, 27, 10.1111/j.1600-0587.2012.07348.x · DOI · Paper page
  12. Dumke, 2010, Relationship between muscle strength, power and stiffness and running economy in trained male runners., Int. J. Sports Physiol. Perform., 5, 249, 10.1123/ijspp.5.2.249 · DOI
  13. Fernandes, 2012, Different VO2max time-averaging intervals in swimming., Int. J. Sports Med., 33, 1010, 10.1055/s-0032-1316362 · doi:10.1055/s-0032-1316362
  14. Hoogkamer, 2016, Altered running economy directly translates to altered distance-running performance., Med. Sci. Sports Exerc., 48, 2175, 10.1249/mss.0000000000001012 · DOI · Paper page
  15. Hoogkamer, 2017, How Biomechanical Improvements in Running Economy Could Break the 2-hour Marathon Barrier., Sports Med., 47, 1739, 10.1007/s40279-017-0708-0 · DOI
  16. Kipp, 2019, Extrapolating metabolic savings in running: implications for performance predictions., Front. Physiol., 10, 10.3389/fphys.2019.00079 · DOI · Paper page
  17. Lacour, 2015, Factors affecting the energy cost of level running at submaximal speed., Eur. J. Appl. Physiol., 115, 651, 10.1007/s00421-015-3115-y · DOI
  18. Loturco, 2015, Vertical and Horizontal Jump Tests Are Strongly Associated With Competitive Performance in 100-m Dash Events., J. Strength Cond. Res., 29, 1966, 10.1519/JSC.0000000000000849 · DOI
  19. Marfell-Jones, 2012, International Standards for Anthropometric Assessment.
  20. Margaria, 1963, Energy cost of running., J. Appl. Physiol., 18, 367, 10.1152/jappl.1963.18.2.367 · DOI · Paper page
  21. McGuigan, 2006, Eccentric utilization ratio: effect of sport and phase of training., J. Strength Cond. Res., 20, 992
  22. McLaughlin, 2010, Test of the classic model for predicting endurance running performance., Med. Sci. Sports Exerc., 42, 991, 10.1249/mss.0b013e3181c0669d · DOI
  23. Peyre-Tartaruga, 2018, Locomotion as a powerful model to study integrative physiology: efficiency. Economy, and power relationship., Front. Physiol., 9, 10.3389/fphys.2018.01789 · DOI
  24. Saunders, 2004, Factors affecting running economy in trained distance runners., Sports Med., 34, 465, 10.2165/00007256-200434070-00005 · DOI · Paper page
  25. Tartaruga, 2012, The relationship between running economy and biomechanical variables in distance runners., Res. Q. Exerc. Sport, 83, 367, 10.1080/02701367.2012.10599870 · DOI
  26. Tartaruga, 2014, Scale model on performance prediction in recreational and elite endurance runners., Int. J. Sports Physiol. Perform., 9, 650, 10.1123/ijspp.2013-0165 · DOI
  27. Tartaruga, 2009, The influence of the allometric scale on the relationship between running economy and biomechanical variables in distance runners., Biol. Sport, 26, 263, 10.5604/20831862.894791 · DOI

Cited by

Metadata

Authors
Lanferdini, F. J., Silva, E. S., Machado, E., Fischer, G., & Peyré-Tartaruga, L. A.
Venue
Frontiers in Physiology
Publisher
Frontiers Media SA
Published
2020-08-05
Volume
11
ISSN
1664-042X
DOI
10.3389/fphys.2020.00979
Cited by
16
References
6
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.