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Cited by 351

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Talent Development: A Guide for Practice and Research Within Sport

Open access
. Martindale, Russell J., Collins, Dave, Daubney, Jim·2005·Quest

Abstract

The transformation of talented youngsters into senior world-beaters is a topic of interest for practitioners and researchers alike. Unfortunately there is a dearth of research to guide the optimization of this process. Accordingly, this paper offers an overview of key themes apparent in the literature that have relevance to the effective development of talent. The five key generic features that emerge consistently include long-term aims and methods; wide ranging coherent messages and support; emphasis on appropriate development rather than early selection; individualized and ongoing development; and finally, integrated, holistic, and systematic development. In addition to the review, exemplars of current worldwide practice are used to further highlight both the need and direction for further research and more broad education of an effective talent development model.

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Registry

Crossref · 10.1080/00336297.2005.10491862

Cites

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Metadata

Authors
. Martindale, R. J., Collins, D., & Daubney, J.
Venue
Quest
Published
2005-11
Volume
57
Issue
4
Pages
353-375
ISSN
  • 0033-6297 (ISSN-L)
  • 1543-2750
OpenAlex
W2018656047
Cited by
351
References
62
FWCI
5.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Talent Development: A Guide for Practice and Research Within Sport. https://app.cochat.ai/papers/10.1080/00336297.2005.10491862
The paper
. Martindale, R. J., Collins, D., & Daubney, J. (2005). Talent Development: A Guide for Practice and Research Within Sport. Quest. https://doi.org/10.1080/00336297.2005.10491862

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.