Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents
- DOI
- 10.3390/computation5030034
- Published
- 2017-07-18
- Container
- Computation
- 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/computation5030034,
title = {Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents},
author = {Georgios Drakopoulos and Andreas Kanavos and Ioannis Karydis and Spyros Sioutas and Aristidis G. Vrahatis},
year = {2017},
journal = {Computation},
doi = {10.3390/computation5030034},
url = {https://doi.org/10.3390/computation5030034}
}RIS
TY - JOUR TI - Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents AU - Georgios Drakopoulos AU - Andreas Kanavos AU - Ioannis Karydis AU - Spyros Sioutas AU - Aristidis G. Vrahatis PY - 2017 JO - Computation DO - 10.3390/computation5030034 UR - https://doi.org/10.3390/computation5030034 ER -
APA
Drakopoulos, G., Kanavos, A., Karydis, I., Sioutas, S., & Vrahatis, A. G. (2017). Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents. Computation. https://doi.org/10.3390/computation5030034
Source records
- crossref · retrieved 2026-09-24T23:24:34.597Z