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Record W2782865253 · doi:10.1002/mnfr.201870014

MNF's Upcoming Topics, Structure, and Standards in 2018

2018· editorial· en· W2782865253 on OpenAlexaboutno aff
Hans‐Ulrich Humpf, Claus Schneider, Jan F. Stevens, Christine Mayer

Bibliographic record

VenueMolecular Nutrition & Food Research · 2018
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsPublicationImpact factorChinaContext (archaeology)Library scienceGlobePolitical scienceMedicineGeographyComputer scienceLaw

Abstract

fetched live from OpenAlex

Molecular Nutrition & Food Research (MNF) is well beyond its infancy. Since its relaunch in 2004, the journal has grown continuously in the number of submissions and published manuscripts. With a current ISI Impact factor of 4.323 (>4 for the 8th year in a row) and a 5-year impact factor of 4.518, MNF has established itself as one of the leading journals in the field of molecular nutrition research. This is largely an accomplishment of our authors—we can publish a high-ranking journal only if we receive innovative, high-impact manuscripts. In this context, we would like to draw your attention to the three most highly cited articles from 2016, which focus on some of the current top research subjects in the field of nutrition: gut microbiome,1 inflammation & obesity2 and metabolism.3 The journal's contributions originate from a truly international author landscape: 5 continents and 43 countries, with USA, China, Spain, Germany, and Japan comprising more than half of all published papers. Our readers (>330000 full-text downloads in 2016) are also spread across the globe: USA, China, Japan, South Korea, Germany, UK, Italy, Spain, Canada, and Australia constitute the top 10. With the first issue of MNF in 2018, we will again present our annual reviews issue with the addition of selected meta-analysis articles. Year after year, this is the most downloaded and cited issue of the journal. The topics in the current collection range from safety aspects in novel foods and allergy to epigenetics as well as berry-based food interventions and infant nutrition. Later in the year, we will publish two topical special issues. The first special issue will cover various aspects of isothiocyanates and health, guest edited by Emily Ho (Oregon State University) and Richard Mithen (Norwich Research Park). It will summarize current findings in the areas of bioavailability in foods and crops, glucosinolate hydrolysis, epidemiology, clinical trials, and more. The second special issue is edited by Lorraine Brennan (University College Dublin) and will cover two related and timely topics, namely metabolomics and biomarkers. This reflects the increasing impact that these emerging fields have in nutrition research. As nutrition science is continually evolving so are the demands of rigorous reporting of its results; thus, manuscript guidelines and formats, nomenclature, database deposits, etc., need periodic revision. In 2017, we have added new, specific details on allergen nomenclature rules in accordance with the WHO/IUIS Allergen Nomenclature initiative (see author guidelines). In 2018, we will ask our authors to clearly define doses of applied active compounds (including the human equivalent dose (HED)) for in vivo experiments and clinical trials in the materials and methods section. On an editorial note, MNF will be moving to an online-only format with publication frequency increased to 24 issues per year. This reflects the growing number of accepted papers and ensures faster turnover. As our regular readers will have noticed, we have changed the format of the articles slightly and have replaced page numbers with e-locators. This enables instant full citation of articles without the need to wait for issue publication. As announced already in last year's editorial and implemented as of 2017, the continuously increasing number of submitted manuscripts has led to the decision to change the peer-review process for the journal. Reviewer selection and invitation, as well as manuscript evaluation and decision, are now handled by an in-house team of editors who will dedicate their full attention to this task. In continuation of this change, we will split the main responsibility of leading the journal into two roles: The external academic lead as Chair of the Executive Editorial Board (Hans-Ulrich Humpf) and the in-house Editor-in-Chief (Chris(tine) Mayer). The in-house team of editors handling the peer review (Chris Mayer, Kerstin Brachhold, Ana V. Jobling Almeida, Xie Cai) will work together with the slightly restructured Editorial Board (the Associate Editors and Senior Editors will form the new Executive Editorial Board) to ensure that MNF continues to publish at the forefront of molecular nutrition research. “As a personal note, I would like to thank Hans-Ulrich Humpf for his enthusiasm and dedication to the journal in his role as Editor-in-Chief. Having held this position since 2013, he has been responsible for the high-quality course the journal has continued on since taking over from Peter Schreier. However, this is thankfully not a goodbye but rather a slight shift in task distribution, as he will stay on as the academic lead as Chair of the Executive Editorial Board. A second thank you goes to Claus Schneider and Fred Stevens for their excellent work as Associate Editors. I am pleased to say that they will also remain in key roles on the newly formed Executive Editorial Board” – Chris Mayer

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.041
metaresearch head score (Gemma)0.103
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.070
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.103
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0130.006
Science and technology studies0.0050.003
Scholarly communication0.0250.014
Open science0.0060.008
Research integrity0.0130.010
Insufficient payload (model declined to judge)0.0700.083

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.346
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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