Multidomain correlates of burnout: A population-based study using supervised machine learning
- DOI
- 10.1007/s00127-026-03113-4
- Published
- 2026-05-26
- Container
- Social Psychiatry and Psychiatric Epidemiology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 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.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- 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.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1007/s00127-026-03113-4,
title = {Multidomain correlates of burnout: A population-based study using supervised machine learning},
author = {Anja Monstadt and Yvonne Friedrich and Fabian Rottstädt and Mona Weiss and Thomas Behrens and Swaantje Casjens and Jonas Frost and Janka Massag and Irene Moor and Nils Opel and Laura R. Pfrommer and Benjamin Schüz and André Scherag and Martin Walter and Rafael Mikolajczyk and Ilona Croy},
year = {2026},
journal = {Social Psychiatry and Psychiatric Epidemiology},
doi = {10.1007/s00127-026-03113-4},
url = {https://doi.org/10.1007/s00127-026-03113-4}
}RIS
TY - JOUR TI - Multidomain correlates of burnout: A population-based study using supervised machine learning AU - Anja Monstadt AU - Yvonne Friedrich AU - Fabian Rottstädt AU - Mona Weiss AU - Thomas Behrens AU - Swaantje Casjens AU - Jonas Frost AU - Janka Massag AU - Irene Moor AU - Nils Opel AU - Laura R. Pfrommer AU - Benjamin Schüz AU - André Scherag AU - Martin Walter AU - Rafael Mikolajczyk AU - Ilona Croy PY - 2026 JO - Social Psychiatry and Psychiatric Epidemiology DO - 10.1007/s00127-026-03113-4 UR - https://doi.org/10.1007/s00127-026-03113-4 ER -
APA
Monstadt, A., Friedrich, Y., Rottstädt, F., Weiss, M., Behrens, T., Casjens, S., Frost, J., Massag, J., Moor, I., Opel, N., Pfrommer, L. R., Schüz, B., Scherag, A., Walter, M., Mikolajczyk, R., & Croy, I. (2026). Multidomain correlates of burnout: A population-based study using supervised machine learning. Social Psychiatry and Psychiatric Epidemiology. https://doi.org/10.1007/s00127-026-03113-4
Source records
- crossref · retrieved 2026-09-26T09:41:42.027Z