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Cited by 163

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Effects of inspiratory muscle training on time-trial performance in trained cyclists

Romer, Lee M., McConnell, Alison K., Jones, David A.·2002·Journal of Sports Sciences

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Registry

Crossref · 10.1080/026404102760000053

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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Citations

Cites

Research works printed but not linked: 3

  1. Caine, MP. and McConnell, A.K. (1998). Pressure threshold inspiratory muscle training improves submaximal cycling performance. In Proceedings of the Third Annual Conference of the European College of Sport Science (edited by A. Sargeant and H. Siddons), p. 101. Manchester: Centre for Health Care Development.
  2. Cohen, J. (1988). Statistical Power Analysis for the Behavioural Sciences. New York: Academic Press.
  3. Wetter,T.J. and Dempsey, J.A. (2000). Pulmonary system and endurance exercise. In Endurance in Sport (edited by R.J. Shephard and P.O. Astrand), pp. 52-67. Oxford: Blackwell. · DOI

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Metadata

Authors
Romer, L. M., McConnell, A. K., & Jones, D. A.
Venue
Journal of Sports Sciences
Published
2002-01
Volume
20
Issue
7
Pages
547-590
ISSN
  • 0264-0414
  • 1466-447X
Cited by
163
References
1
Language
en

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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Data sources

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.