Identifying developmental trajectories of worldwide road traffic accident death rates using a latent growth mixture modeling approach.

Salehi M, Mobaderi T, Mehmandar M, Dehnad A

DOI: 10.1371/journal.pone.0212402
Published: 2019
Container: PloS one
Publisher: Not recorded
Open access: yes

Credibility signals

serious concern Score 18/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. 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
serious concernRetraction Watch retraction: 1 retraction notice matched this DOI. 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
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0212402,
  title = {Identifying developmental trajectories of worldwide road traffic accident death rates using a latent growth mixture modeling approach.},
  author = {Salehi M and Mobaderi T and Mehmandar M and Dehnad A},
  year = {2019},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0212402},
  url = {https://doi.org/10.1371/journal.pone.0212402}
}

RIS

TY  - JOUR
TI  - Identifying developmental trajectories of worldwide road traffic accident death rates using a latent growth mixture modeling approach.
AU  - Salehi M
AU  - Mobaderi T
AU  - Mehmandar M
AU  - Dehnad A
PY  - 2019
JO  - PloS one
DO  - 10.1371/journal.pone.0212402
UR  - https://doi.org/10.1371/journal.pone.0212402
ER  -

APA

M, S., T, M., M, M., & A, D. (2019). Identifying developmental trajectories of worldwide road traffic accident death rates using a latent growth mixture modeling approach.. PloS one. https://doi.org/10.1371/journal.pone.0212402

Source records

pubmed · retrieved 2026-09-25T02:20:53.595Z
europe-pmc · retrieved 2026-09-25T02:20:53.611Z
doaj · retrieved 2026-09-25T02:20:53.595Z