Cited by 347Biochemical Analysis and Sensing TechniquesNutrition, Health and Food BehaviorDiet, Metabolism, and Disease

The DOI matches its Crossref record; 96 of the 100 references it cites were found in a registry or an index; 17 of the 59 sources its claims cite were checked for support.

Sweetness and Food Preference

Open access

Abstract

Review discussing sweetness and food preference.

Overview

Integrity signals

Registry

Crossref · 10.3945/jn.111.149575

Cites

96 of 96 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

17 of 59 cited sources checked · 5 supported · 0 flagged · accuracy not yet measured

  • It may state two separate claims as one. 28
  • Probably not a substantial claim. 7
31 of 31
  • The paper relies on this without support.

    Pediatric research on behavioral and physiological responses to low-calorie sweeteners and on the consequences of adding them to children's diets is scarce.

    “In contrast, there is a paucity of pediatric research on the behavioral and physiological responses to LCS per se and the potential consequences of incorporating LCS into children’s diets.”
  • The paper relies on this without support.

    Little is known about how low-calorie sweeteners affect children's food acceptance, eating patterns, and growth.

    “Although our food supply now includes several LCS that provide sweetness with less energy (6), we know little of their impact on children’s food acceptance, eating patterns, and growth.”
  • The paper relies on this without support.

    The capacity to compensate for variation in energy intake declines with age.

    “The ability to compensate for variability in energy intake seems to decrease with age; thus, the impact of LCS use in the weight management of children may not parallel that of adults.”
3 of 3

Citations

Cites

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4 of the 100 references couldn’t be matched to a known paper.

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Metadata

Authors
Drewnowski, A., Mennella, J. A., Johnson, S. L., & Bellisle, F.
Affiliations
  • University of Washington (US)
  • Monell Chemical Senses Center (US)
  • University of Colorado Anschutz (US)
  • Université Sorbonne Paris Nord (FR)
Corresponding author
Drewnowski, Adam
Venue
The Journal of Nutrition
Publisher
Elsevier BV
Published
2012-06
Volume
142
Issue
6
Pages
1142S-1148S
ISSN
0022-3166 (ISSN-L)
OpenAlex
W2019506719
Cited by
347
References
100
Citations by year
2026: 17 · 2025: 33 · 2024: 14 · 2023: 19 · 2022: 29 · 2021: 32 · 2020: 27 · 2019: 66 · 2018: 28 · 2017: 19 · 2016: 20 · 2015: 17 · 2014: 17 · 2013: 8 · 2012: 1
FWCI
11.97
Type
journal article
Language
en
Open access
Locations
  • Journal of Nutrition (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Kellogg's
  • University of Washington
  • National Institutes of Health
  • National Institute on Deafness and Other Communication Disorders (R01DC011287)
  • National Institute of Child Health and Human Development
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD037119)
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Biochemical Analysis and Sensing Techniques
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
Keywords
sweetness, food preferences, artificial sweeteners, added sugars, childhood obesity, taste development, appetite, energy intake, children's diet quality
MeSH terms
Adult, Beverages, Child, Eating, Food Analysis, Food Preferences, Humans, Sweetening Agents, Taste

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-09-28, under version 3 of the claim definition (prompt extract-v3).

A second model labelled each claim on 2026-09-28 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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