Clustering Analysis Identified Three Long COVID Phenotypes and Their Association with General Health Status and Working Ability
- DOI
- 10.3390/jcm12113617
- Published
- 2023-05-23
- Container
- Journal of Clinical Medicine
- Publisher
- MDPI AG
- 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:10.3390/jcm12113617,
title = {Clustering Analysis Identified Three Long COVID Phenotypes and Their Association with General Health Status and Working Ability},
author = {Marta A. Kisiel and Seika Lee and Sara Malmquist and Oliver Rykatkin and Sebastian Holgert and Helena Janols and Christer Janson and Xingwu Zhou},
year = {2023},
journal = {Journal of Clinical Medicine},
doi = {10.3390/jcm12113617},
url = {https://doi.org/10.3390/jcm12113617}
}RIS
TY - JOUR TI - Clustering Analysis Identified Three Long COVID Phenotypes and Their Association with General Health Status and Working Ability AU - Marta A. Kisiel AU - Seika Lee AU - Sara Malmquist AU - Oliver Rykatkin AU - Sebastian Holgert AU - Helena Janols AU - Christer Janson AU - Xingwu Zhou PY - 2023 JO - Journal of Clinical Medicine DO - 10.3390/jcm12113617 UR - https://doi.org/10.3390/jcm12113617 ER -
APA
Kisiel, M. A., Lee, S., Malmquist, S., Rykatkin, O., Holgert, S., Janols, H., Janson, C., & Zhou, X. (2023). Clustering Analysis Identified Three Long COVID Phenotypes and Their Association with General Health Status and Working Ability. Journal of Clinical Medicine. https://doi.org/10.3390/jcm12113617
Source records
- crossref · retrieved 2026-09-27T09:52:00.904Z