EUVIMEDEuropean Health Evidence
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European Health Evidence

The European alternative to PubMed

EUVIMED is the European alternative to PubMed: a central, multilingual research platform for medicine, nursing, life sciences and healthcare. It brings together international and European literature sources, study registries, open-access full texts, citations and retraction notices in one search. Unlike pure bibliographic databases, EUVIMED supports the entire research process – from discovery and appraisal with LIVIA and CLARA to traceable evidence synthesis. European in focus, transparent, interoperable and designed for science and healthcare.

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EUVIMED BETA

EUVIMED is currently in beta

EUVIMED is under continuous development. Features, data coverage and presentation may change or be temporarily incomplete.

Results are beta

Search results, classifications, summaries and AI-assisted assessments may be incomplete, delayed or incorrect.

Check original sources

Do not use EUVIMED results without verification for diagnosis, treatment or other clinical decisions. Always consult the original source and applicable guidelines.

Errors and feedback help us improve EUVIMED: info@euvimed.com

Lokaler Crossref-Datenbestand · posted-content

Author Correction: A detailed characterization of complex networks using Information Theory (Scientific Reports, (2019), 9, 1, (16689), 10.1038/s41598-019-53167-5)

CGS Freitas, ALL Aquino, HS Ramos, Alejandro Frery, OA Rosso

2021

Vollständiger Abstract

Worum geht es in dieser Arbeit?

© 2021, The Author(s). An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Bibliografischer Nachweis

Publikationsdaten

Autor:innen
CGS Freitas, ALL Aquino, HS Ramos, Alejandro Frery, OA Rosso
Quelle
Victoria University of Wellington Library
Publikation
2021-01-01
Band / Ausgabe
Nicht angegeben
Seiten
Nicht angegeben
ISSN / ISBN
Nicht angegeben
Zitationen
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Zitierfähiger Nachweis

CGS Freitas, ALL Aquino, HS Ramos, Alejandro Frery, OA Rosso (2021). Author Correction: A detailed characterization of complex networks using Information Theory (Scientific Reports, (2019), 9, 1, (16689), 10.1038/s41598-019-53167-5). https://doi.org/10.1038/s41598-026-67002-1
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Lizenzhinweise: Lizenz 1