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Cited by 33

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Cross-sectional comparison of body composition and resting metabolic rate in Premier League academy soccer players: Implications for growth and maturation

Hannon, Marcus P., Carney, Daniel J., Floyd, Stephen, Parker, Lloyd J. F., McKeown, John, Drust, Barry, Unnithan, Viswanath B., Close, Graeme L., Morton, James P.·2020·Journal of Sports Sciences

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Crossref · 10.1080/02640414.2020.1717286

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Citations

Cites

Research works printed but not linked: 25

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  2. 10.1080/02640414.2013.781662 · DOI
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  4. 10.1093/ajcn/33.11.2372 · DOI · Paper page
  5. De Lorenzo, A., Bertini, I., Candeloro, N., Piccinelli, R., Innocente, I., & Brancati, A. (1999). A new predictive equation to calculate resting metabolic rate in athletes. The Journal of Sports Medicine and Physical Fitness, 39(3), 213–219. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/10573663
  6. Egan, E., Wallace, J., Reilly, T., Chantler, P. & Lawlor, J. (2006). Body composition and bone mineral density changes during a premier league season as measured by dual-energy X-ray absorptiometry. International Journal of Body Composition Research, 4(2), 61–66.
  7. Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). London, UK: SAGE Publications.
  8. Haldane, J. S. (1918). Methods of air analysis. London, UK: Charles Griffin & Co. Ltd.
  9. 10.1249/01.MSS.0000153115.33762.3F · DOI · Paper page
  10. 10.4162/nrp.2015.9.4.370 · DOI
  11. 10.1136/bjsports-2015-094623 · DOI · Paper page
  12. Marfell-Jones M. Stewart A. & Olds T. (2006).Kinanthropometry IX: Proceedings of the 9th International Conference of the International Society for the Advancement of Kinanthropometry. Routledge. · DOI · Paper page
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  14. 10.1097/00005768-200204000-00020 · DOI · Paper page
  15. 10.1136/bjsports-2018-099193 · DOI · Paper page
  16. 10.1097/MCO.0b013e328363bdf9 · DOI · Paper page
  17. 10.1123/ijsnem.2013-0111 · DOI
  18. 10.1113/EP087512 · DOI
  19. 10.1016/j.jpeds.2005.04.041 · DOI
  20. 10.1007/s00421-018-3804-4 · DOI
  21. 10.1152/jappl.1949.2.1.1 · DOI · Paper page
  22. 10.1055/s-0042-119029 · DOI
  23. 10.1113/jphysiol.1949.sp004363 · DOI · Paper page
  24. Wong, J. E., Poh, B. K., Nik Shanita, S., Izham, M. M., Chan, K. Q., Tai, M. D., & Ismail, M. N. (2012). Predicting basal metabolic rates in Malaysian adult elite athletes. Singapore Medical Journal, 53(11), 744–749. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/23192502
  25. 10.1055/s-0034-1375616 · DOI

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Metadata

Authors
Hannon, M. P., Carney, D. J., Floyd, S., Parker, L. J. F., McKeown, J., Drust, B., Unnithan, V. B., Close, G. L., & Morton, J. P.
Affiliations
  • Research Institute for Sport and Exercise Sciences (RISES), Liverpool John Moores University, Liverpool, UK
  • Everton Football Club, Liverpool, UK
  • Research Institute of Clinical Exercise and Health Science, School of Health and Life Sciences, University of the West of Scotland, Hamilton, UK
Venue
Journal of Sports Sciences
Published
2020-01-21
Volume
38
Issue
11-12
Pages
1326-1334
ISSN
  • 0264-0414
  • 1466-447X
Cited by
33
References
3
Language
en

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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.