Charting the Scientific Landscape of Indirect Estimation Models in Doping Prevalence Research: A Narrative Review with Bibliometric Analysis

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

Open source

DOI: 10.20944/preprints202603.1754.v1
Published: 2026-03-23
Container: Not recorded
Publisher: MDPI AG
Open access: unknown

Credibility signals

uncertain Score 60/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
cautionPublication version: Identified as a preprint; peer review and later versions may change the record. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.20944/preprints202603.1754.v1,
  title = {Charting the Scientific Landscape of Indirect Estimation Models in Doping Prevalence Research: A Narrative Review with Bibliometric Analysis},
  author = {Andrea Petróczi and Dominic Sagoe and Anna Kiss and Sándor Soós and Razieh Chegeni and Annalena Veltmaat and Maarten Cruyff and Peter van der Heijden and Olivier de Hon},
  year = {2026},
  doi = {10.20944/preprints202603.1754.v1},
  url = {https://doi.org/10.20944/preprints202603.1754.v1}
}

RIS

TY  - JOUR
TI  - Charting the Scientific Landscape of Indirect Estimation Models in Doping Prevalence Research: A Narrative Review with Bibliometric Analysis
AU  - Andrea Petróczi
AU  - Dominic Sagoe
AU  - Anna Kiss
AU  - Sándor Soós
AU  - Razieh Chegeni
AU  - Annalena Veltmaat
AU  - Maarten Cruyff
AU  - Peter van der Heijden
AU  - Olivier de Hon
PY  - 2026
DO  - 10.20944/preprints202603.1754.v1
UR  - https://doi.org/10.20944/preprints202603.1754.v1
ER  -

APA

Petróczi, A., Sagoe, D., Kiss, A., Soós, S., Chegeni, R., Veltmaat, A., Cruyff, M., Heijden, P. V. D., & Hon, O. D. (2026). Charting the Scientific Landscape of Indirect Estimation Models in Doping Prevalence Research: A Narrative Review with Bibliometric Analysis. https://doi.org/10.20944/preprints202603.1754.v1

Source records

crossref · retrieved 2026-11-10T12:36:20.710Z