Exploring Doping Prevalence in Sport from Indirect Estimation Models: A Systematic Review and Meta-Bibliometric Analysis

Dominic Sagoe, Maarten Cruyff, Razieh Chegeni, Annalena Veltmaat, Anna Kiss, Sándor Soós, Olivier de Hon, Peter van der Heijden, Andrea Petróczi

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DOI
10.21203/rs.3.rs-4104397/v1
Published
2024-03-25
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Not recorded
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.21203/rs.3.rs-4104397/v1,
  title = {Exploring Doping Prevalence in Sport from Indirect Estimation Models: A Systematic Review and Meta-Bibliometric Analysis},
  author = {Dominic Sagoe and Maarten Cruyff and Razieh Chegeni and Annalena Veltmaat and Anna Kiss and Sándor Soós and Olivier de Hon and Peter van der Heijden and Andrea Petróczi},
  year = {2024},
  doi = {10.21203/rs.3.rs-4104397/v1},
  url = {https://doi.org/10.21203/rs.3.rs-4104397/v1}
}

RIS

TY  - JOUR
TI  - Exploring Doping Prevalence in Sport from Indirect Estimation Models: A Systematic Review and Meta-Bibliometric Analysis
AU  - Dominic Sagoe
AU  - Maarten Cruyff
AU  - Razieh Chegeni
AU  - Annalena Veltmaat
AU  - Anna Kiss
AU  - Sándor Soós
AU  - Olivier de Hon
AU  - Peter van der Heijden
AU  - Andrea Petróczi
PY  - 2024
DO  - 10.21203/rs.3.rs-4104397/v1
UR  - https://doi.org/10.21203/rs.3.rs-4104397/v1
ER  - 

APA

Sagoe, D., Cruyff, M., Chegeni, R., Veltmaat, A., Kiss, A., Soós, S., Hon, O. D., Heijden, P. V. D., & Petróczi, A. (2024). Exploring Doping Prevalence in Sport from Indirect Estimation Models: A Systematic Review and Meta-Bibliometric Analysis. https://doi.org/10.21203/rs.3.rs-4104397/v1

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