Correction: Davies et al. An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods. Nutrients 2021, 13, 3195

The journal’s Editorial Office and Editorial Board are jointly issuing a resolution and removal of the Journal Notice linked to this article [...]

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Publication Details

Journal
Nutrients
Published
2026-04-27
DOI
https://doi.org/10.3390/nu18091367
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
0.00
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article

Correction: Davies et al. An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods. Nutrients 2021, 13, 3195

Jimmy Chun Yu Louie, Tazman Davies, Tailane Scapin, Matti Marklund et al.
Nutrients
Food composition and properties
article

Correction: Davies et al. An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods. Nutrients 2021, 13, 3195

Jimmy Chun Yu Louie, Tazman Davies, Tailane Scapin, Matti Marklund, Jason HY Wu, Simone Pettigrew, Daisy H. Coyle
article en

Abstract

The journal’s Editorial Office and Editorial Board are jointly issuing a resolution and removal of the Journal Notice linked to this article [...]

NutrientsVol. 18(9)
Uppsala University (SE), Johns Hopkins University (US), UNSW Sydney (AU), Universidade Federal de Santa Catarina (BR), The George Institute for Global Health (AU), University of Hong Kong (HK)
Zero hunger
Openalex Percentile: Top 19%
Food composition and properties
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Correction: Davies et al. An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods. Nutrients 2021, 13, 3195 — Jimmy Chun Yu Louie, Tazman Davies, et al. · Nutrients (2026) | TGRS Research Map | TGRS