Cited by 371Body Composition Measurement TechniquesClinical Nutrition and GastroenterologyRegulation of Appetite and Obesity

The DOI matches its Crossref record; 41 of the 44 references it cites were found in a registry or an index.

Prediction of resting energy expenditure from fat-free mass and fat mass

Nelson, KM, Weinsier, RL, Long, CL, Schutz, Y·1992·The American Journal of Clinical Nutrition

DOI 10.1093/ajcn/56.5.848

Open this paper in CoChat — free account

Abstract

On the basis of literature values, the relationship between fat-free mass (FFM), fat mass (FM), and resting energy expenditure [REE (kJ/24 h)] was determined for 213 adults (86 males, 127 females). The objectives were to develop a mathematical model to predict REE based on body composition and to evaluate the contribution of FFM and FM to REE. The following regression equations were derived: 1) REE = 1265 + (93.3 x FFM) (r2 = 0.727, P < 0.001); 2) REE = 1114 + (90.4 x FFM) + (13.2 x FM) (R2 = 0.743, P < 0.001); and 3) REE = (108 x FFM) + (16.9 x FM) (R2 = 0.986, P < 0.001). FM explained only a small part of the variation remaining after FFM was accounted for. The models that include both FFM and FM are useful in examination of the changes in REE that occur with a change in both the FFM and FM. To account for more of the variability in REE, FFM will have to be divided into organ mass and skeletal muscle mass in future analyses.

Integrity signals

Registry

Crossref · 10.1093/ajcn/56.5.848

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

A new predictive equation for resting energy expenditure in healthy individuals
Mifflin, M., St Jeor, S., Hill, L., Scott, B., Daugherty, S., & Koh, Y. (1990) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/51.2.241 · Cited by 2,544
Determinants of 24-hour energy expenditure in man. Methods and results using a respiratory chamber.
Ravussin, E., Lillioja, S., Anderson, T. E., Christin, L., & Bogardus, C. (1986) · Journal of Clinical Investigation · doi:10.1172/jci112749 · Cited by 1,166
Modern Nutrition in Health and Disease.
(1981) · Annals of Internal Medicine · doi:10.7326/0003-4819-94-2-283_2 · Cited by 789
Cautionary Note about R 2
Kvålseth, T. O. (1985) · The American Statistician · doi:10.2307/2683704 · Cited by 761
Relationship of genetics, age, and physical fitness to daily energy expenditure and fuel utilization
Ravussin, É., & Bogardus, C. (1989) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/49.5.968 · Cited by 615
Body composition as a determinant of energy expenditure: a synthetic review and a proposed general prediction equation
Cunningham, J. (1991) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/54.6.963 · Cited by 607
Twenty-four-hour energy expenditure and resting metabolic rate in obese, moderately obese, and control subjects
Ravussin, É. (1982) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/35.3.566 · Cited by 482
Human Body Composition: Growth, Aging, Nutrition, and Activity
Forbes, G. B. (1987) · Medical Entomology and Zoology · Cited by 461
Energy Balance and Obesity in Man
Ailshul, M. D. (1975) · Nutrition Today · doi:10.1097/00017285-197509000-00009 · Cited by 460
A reappraisal of caloric requirements in healthy women
Owen, O. E., Kavle, E. C., Owen, R., Polansky, M., Caprio, S., Mozzoli, M., Kendrick, Z. V., Bushman, M. C., & Boden, G. (1986) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/44.1.1 · Cited by 442

Show all 44 references

Research works printed but not linked: 2

Kvalseth, 1985, Cautionary note about R2., Am Stat, 39, 279
Sjostrom, 1991, A computer-tomography based multicompartment body composition technique and anthropometric prediction of lean body mass, total and subcutaneous adipose tissue, Int J Obes, 15, 19

Sorted by citations

Items 301–371 of 371

Nutritional Support in Intensive Care Unit (ICU) Patients
Preiser, J., Chioléro, R. L., & Singer, P. (2005) · Cited by 1
Body Composition: Physiology, Pathophysiology and Methods of Evaluation
Sergi, G., Bonometto, P., Coin, A., & Enzi, G. (2007) · Springer eBooks · doi:10.1007/978-88-470-0552-5_17 · Cited by 1
A Portable Colorimetric Sensing Platform for the Evaluation of Carbon Dioxide in Breath
Bridgeman, D. (2017) · Cited by 1
Determinación del ángulo de fase por bioimpedancia en deportistas de la ESMIC
Amézquita, J. R. C., Bermúdez, N. S. C., & Angarita, S. A. V. (2020) · Escuela Militar de Cadetes Jose Maria Cordova eBooks · doi:10.21830/9789585284814.12 · Cited by 1
Predicting Resting Metabolic Rate with Easily Obtained Measures: The Influence of Body Circumference
Chase, K., Patek, K., Walker, J. L., & Mettler, J. A. (2021) · Translational Journal of the American College of Sports Medicine · doi:10.1249/tjx.0000000000000162 · Cited by 1
Body composition and energy expenditure in men with schizophrenia
Sharpe, J.-K. (2007) · Faculty of Health · Cited by 1
Peut-on prédire la dépense énergétique de repos au cours de l’obésité morbide ?
Ritz, P., Bécouarn, G., Topart, P. A., Gohier, B., Garré, J.-B., Arnaud, J., Sallé, A., & Rohmer, V. (2007) · Obésité · doi:10.1007/s11690-007-0067-3 · Cited by 1
“[6] ont, par ailleurs, montré que la masse grasse pouvait également entrer dans ces équations de prédiction et les améliorer.”
Background
METABOLIC AND HORMONAL STUDIES IN SOUTH AFRICAN WOMEN OF INDIAN AND AFRICAN ORIGIN
Waisberg, R. (2010) · University of the Witwatersrand, Johannesburg Institutional Repository on DSpace (University of the Witwatersrand, Johannesburg) · Cited by 1
Efeitos metabólicos e nutricionais da suplementação proteica em mulheres com reganho de peso após 24 meses de cirurgia bariátrica : um ensaio clínico randomizado
Gomes, D. L. (2015) · doi:10.26512/2015.06.t.18804 · Cited by 1
Brazilian Journal of Health Review
(2021) · doi:10.34119/2595-6825 · Cited by 1
Phase angle and body composition in patients with overweight and obesityPreprint
Zhang, J., Liu, C., He, X., Li, L., Cheng, S., Jiang, N., & Liang, B. (2022) · Research Square · doi:10.21203/rs.3.rs-1431094/v1 · Cited by 1
Estimating patients' energy requirements: Cancer as a case study.
Reeves, M. M. (2004) · Faculty of Health · Cited by 2
Estimation of Warfighter Resting Metabolic Rate
Doherty, T. J. (2005) · Defense Technical Information Center (DTIC) · Cited by 1
Roux-en-Y gastric bypass - clinical outcome and mechanisms of action
Werling, M. (2013) · Gothenburg University Publications Electronic Archive (Gothenburg University)
Physiological aspects of weight loss in obesity
Patel, K. (2011) · Nottingham ePrints (University of Nottingham)
Equations for Model Building: The Surface Law and Body Composition
Hargrove, J. L. (1998) · Modeling dynamic systems · doi:10.1007/978-1-4612-1644-5_6
Reply to DJ Stensel
Polito, A., & Ferro-Luzzi, A. (2001) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/73.2.359
Accuracy and Applicability of Resting Metabolic Rate Prediction Equations Differ for Women Across the Lifespan
Woolf, K., Miller, S., Reese, C., Beaird, L., & Mason, M. (2015) · Journal of Nutritional Therapeutics · doi:10.6000/1929-5634.2015.04.02.3
“The Nelson equation may have resulted in the most accurate RMR predictions due to the incorporation of both FFM and FM in the calculation [21].”
BackgroundMethodInfluential
Derivación biliopancreática
Scopinaro, N., Papadia, F. S., Marinari, G. M., & Camerini, G. B. (2009) · Elsevier eBooks · doi:10.1016/b978-84-8086-428-2.50029-0
Conséquences métaboliques de l'agression
Chioléro, R. L. (2005) · Nutrition Clinique et Métabolisme · doi:10.1016/j.nupar.2005.06.007
NOVEL GENES IN THE LIVER OF DIABETIC PSAMMOMYS OBESUS
Southon, A. G. (2002)
A Multi-Ingredient Nutritional Supplement (MINS) Increases Fat Oxidation and Augments Metabolic Rate
Saini, A. S., McBride, R., Davies, B., Martin, N., & Brewer, J. (2013) · Journal of Athletic Enhancement · doi:10.4172/2324-9080.1000105
“Resting energy expenditure, which generally represents about 60% of daily energy expenditure, depends largely on body mass, especially fat-free mass, which is more metabolically active than fat tissue [4].”
Background
Metabolic Adaptation in
Leonard, W. R., Snodgrass, J. J., & Sorensen, M. (2005)
Métabolisme énergétique au cours de la cachexie cancereuse
Johnson, G. (2007) · OpenGrey (Institut de l'Information Scientifique et Technique)
Efeitos do treinamento com pesos sobre a densidade mineral ossea, força muscular e variaveis funcionais na menopausa
Bonganha, V. (2009) · doi:10.47749/t/unicamp.2009.465934
Feeding Behavior and Body Mass Index
Adami, G. (2011) · Springer eBooks · doi:10.1007/978-0-387-92271-3_59
Salivary Cortisol Decreases with a Pre- and Post-Resistance Exercise Carbohydrate/Protein Supplement in Untrained Subjects
Dominguez, J. M. (2006) · OhioLink ETD Center (Ohio Library and Information Network)
Estudio del gasto energético en una población adulta sana española: calorimetría indirecta "versus" modelos predictivos: propuesta de una nueva ecuación de estimación
Marcos, S. D. L. C. (2015) · doi:10.35376/10324/16515
THE PHYSIOLOGICAL BASIS FOR WEIGHT RECIDIVISM FOLLOWING SEVERE CALORIC RESTRICTIVE DIET THERAPIES: A MOLECULAR RATIONALE FOR EXERCISE-AND NUTRITION-BASED TREATMENT OPTIMIZATION
(2016) · Journal of Advanced Nutrition and Human Metabolism · doi:10.14800/janhm.1105
Can Racial Differences in Resting Metabolic Rate be Explained by Body Composition?
Avila, J. I., Ng, B. K., Kotowski, L., Hinton, B. J., & Shepherd, J. (2016) · Obesity · doi:10.1002/oby.21526
“5 kg of fat-free mass between race groups implies a mean RMR difference of approximately 116 kcal according to the Nelson equation (2).”
BackgroundMethod
Energy Needs of Master Athletes
Byrne, N., & Hills, A. P. (2014) · eCite Digital Repository (University of Tasmania)
Nutritional Assessment and Techniques
Sobotka, L., Meier, R. F., Vaisman, N., & Berner, Y. (2006)
The motivation and maintenance of physical activity in women
Donovan, H. (2015)
Measurement of Agreement of Resting Metabolic Rate between Indirect Calorimetery and Multiple Estimation Models in Adults Using Air Displacement Plethysmography
Miller, B. (2013) · OhioLink ETD Center (Ohio Library and Information Network)
Improving Men's Health through Weight Control: Randomized Trials Testing Recruitment Messaging and a Novel Weight Loss Intervention
Crane, M. M. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/828s-0h30
The Genetic and Microbial Influences in Obesity
Streett, S. E., & Azagury, D. E. (2018) · Springer eBooks · doi:10.1007/978-3-319-71282-6_24
An Investigation of the Oxidation of Carbohydrate versus Fat for Energy in Individuals with Type 2 Diabetes
Loehr, S. (2013) · ERA: Education and Research Archive (University of Alberta) · doi:10.7939/r3t43jb3c
Metabolismo energético multicompartimental: modelos preditivos derivados da DXA
Venturini, A. C. R. (2018) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.109.2018.tde-02042018-164553
Human energy expenditure: advances in organ-tissue prediction models:Energy expenditure model
Heymsfield, S. B., Peterson, C. M., Bourgeois, B., Thomas, D. M., Gallagher, D., Strauss, B. J., Müller, M. J., & Bosy-westphal, A. (2018) · Obesity Reviews · doi:10.1111/obr.v19.9
Human energy expenditure modelling research
York, D. A., & Pietrobelli, A. (2018) · Obesity Reviews · doi:10.1111/obr.12722
Effects of Age and Sex on Weight-Loss Dynamics in Obese Patients Undergoing Very Low Calorie Treatment
Jo, E., Cain, A., Prado, C. M. M., Brown, A. F., Ormsbee, M. J., Smith, D., Snyder, K., & Kim, J. (2017) · Californian Journal of Health Promotion · doi:10.32398/cjhp.v15i3.1906
Endokrin Bozukluğu Olan Hastalarda Bazal Metabolik Hızın Belirlenmesinde İndirekt Kalorimetre ile Diğer Enerji Denklemlerinin Karşılaştırılması
Tütüncü, Ö., & Saka, M. (2019) · Journal of Nutrition and Dietetics · doi:10.33076/2019.bdd.1198
“Hastaların BMH’leri tablolarda yer alan toplamda 42 farklı enerji denklemi ile hesaplanmıştır (13,18,19,21,29-32).”
Dietary Tryptophan Requirements in Adult Dogs and How Optimization of the Tryptophan to Large Neutral Amino Acid Ratio Affects the Metabolism and Gut Health in Actively Training Sled Dogs
Templeman, J. R. (2020) · The Atrium (University of Guelph)
Nutrition Assessment and Intervention Improves Body Composition and Diet in NCAA Female Volleyball Players
Wenzel, R. K. (2011)
Phénotypage clinique et personnalisation de la médecine des obésités
Alligier, M., & Laville, M. (2021) · Elsevier eBooks · doi:10.1016/b978-2-294-76753-1.00114-4
Diet Composition and Fat Balance
Hargrove, J. L. (1998) · Modeling dynamic systems · doi:10.1007/978-1-4612-1644-5_21
Associations Between Resting Metabolic Rate and Energy Storage in Young Adults
Shook, R. P. (2013) · Scholar Commons (University of South Carolina)
Electrical Bioimpedance to Determine Body Composition in Students from the Colombian National Army’s Training Schools
Amézquita, J. R. C., Aedo–Muñoz, E., Mesa, J. C., & Castañeda, I. D. C. (2021) · doi:10.21830/9789585380240.03
Influence of fat-free mass and resting metabolic rate on increased food reinforcement after exercise training
Pankey, C. L., Flack, K. D., Ufholz, K. E., Johnson, L. K., & Roemmich, J. N. (2022) · Sport Sciences for Health · doi:10.1007/s11332-021-00876-y
“After training, FFM maintained a strong positive association with RMR further supporting FFM as a primary determinant of RMR [5, 7, 35].”
Background
Energy Needs of Masters Athletes
Byrne, N. M., & Hills, A. P. (2014) · CRC Press eBooks · doi:10.1201/b17541-4
UMA NOVA ABORDAGEM NA DETERMINAÇÃO DO GASTO ENERGÉTICO DE REPOUSO
Venturini, A. C. R., da Silva, L. S. L., Abdalla, P. P., dos Santos, A. P., & Machado, D. R. L. (2022) · Bookerfield Editora · doi:10.53268/bkf22040404
RESPOSTAS AGUDAS AO TREINAMENTO DE FORÇA COM E SEM RESTRIÇÃO DE FLUXO SANGUÍNEO: SEGURANÇA DOS PARÂMETROS HEMODINÂMICOS EM PESSOAS VIVENDO COM HIV/AIDS
Alves, T. C., da Silva, L. S. L., Abdalla, P. P., Bohn, L., dos Santos, A. P., Júnior, M. F. T., Mota, J. A. P. S., & Machado, D. R. L. (2022) · Bookerfield Editora · doi:10.53268/bkf22040405
IDENTIFICAÇÃO DA SARCOPENIA MEDIANTE ANTROPOMETRIA E TESTES FUNCIONAIS SIMPLES
Abdalla, P. P., Boppre, G., Maciel, L. Y. D. S., Veras, L., dos Santos, A. P., Bohn, L., Mota, J. A. P. S., & Machado, D. R. L. (2022) · Bookerfield Editora · doi:10.53268/bkf22040403
AVALIAÇÃO DA MOBILIDADE EM PESSOAS COM ESCLEROSE MÚLTIPLA
Sebastião, É., Hill, C. M., Santinelli, F. B., & Barbieri, F. A. (2022) · Bookerfield Editora · doi:10.53268/bkf22040402
Faculty Opinions recommendation of Decreasing human body temperature in the United States since the industrial revolution.
van Beek, H. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.737167210.793570269
Composición corporal por bioimpedancia eléctrica en estudiantes de escuelas de formación del ejército colombiano
Amézquita, J. R. C., Aedo–Muñoz, E., Mesa, J. C., & Castañeda, I. D. C. (2020) · Escuela Militar de Cadetes Jose Maria Cordova eBooks · doi:10.21830/9789585241466.03
Tasa metabólica en reposo por calorimetría indirecta y ecuaciones de predicción en deportistas con amputación: Análisis de concordancia
Moreno, M. P. S., Castaño, C., Mora‐Plazas, M., Rivera-Amézquita, L. V., & Bejarano, E. (2023) · Revista chilena de nutrición · doi:10.4067/s0717-75182023000200194
Weight Loss
Pi-Sunyer, X. (2015) · Elsevier eBooks · doi:10.1016/b978-0-323-28786-9.00020-7
COMPARACIÓN DE LA ESTIMACIÓN DE LA TASA METABÓLICA EN REPOSO DE LAS ECUACIONES PREDICTIVAS DE HARRIS BENEDICT, OMS-FAO Y NELSON Y SU RELACIÓN CON LA COMPOSICIÓN CORPORAL MEDIDA POR BIOIMPEDANCIA ELÉCTRICA EN DIFERENTES PATOLOGÍAS
Flores, L., & Herrera, H. (2024) · Diabetes actual · doi:10.61156/2024.2.1.005
Comparison of predicted and measured resting metabolic rate among African-American men and women
Hicks, J., Dash, C., Zhu, J., Smith, D. I., & Adams-Campbell, L. L. (2025) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2025-0179
Psychosocial and Behavioral Predictors of Energy Intake Plausibility and Weight Loss in Overweight Perimenopausal Women
Maurer, J. (2005) · UA Campus Repository (The University of Arizona)
The effect of aerobic exercise with blood flow restriction on substrate utilization and energy expenditure
Lauver, J. D., Andrews, N. A., Harris, C. P., Zanchi, N. E., Johnson, K. E., Rotarius, T. R., & Guilkey, J. P. (2026) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2026.1738777
Sex-hormone induced short-term changes in body composition are paralleled by an increase in ad libitum energy intakePreprint
Kaar, M., Zimmermann, P., Bokeloh, T., Moll, L., Labinski, F., Woehlecke, F., Blüher, M., Stümvoll, M., Schlögl, H., & Heinitz, S. (2026) · Research Square · doi:10.21203/rs.3.rs-8824402/v1
Mathematical modeling of the hormonal regulation of food intake and body weight : applications to caloric restriction and leptin resistance
Jacquier, M. (2016) · theses.fr (ABES) · doi:10.70675/9b046659zd8bez4d00z8239z44a1ead1dbcc · Cited by 4
Étude de la biodisponibilité digestive et métabolique des protéines alimentaires après bypass gastrique
Benhaddou, S. (2024) · theses.fr (ABES) · doi:10.70675/7695aa50zef8bz45f0z95c9z3fe6bb604d4d
Assessing the validity of a portable indirect calorimetry device in a pediatric sample
Neuwald, N. V., Temple, J. L., & Epstein, L. H. (2026) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2026.103320
Resting Metabolic Rate in Collegiate Male Wrestlers: Cross-Validation and Development of Prediction Equations
Jagim, A. R., Dobbs, W. C., Magee, M. K., Fields, J. B., Sims, J. N. L., Saine, N. D., & Jones, M. T. (2026) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000004071
Energy expenditure and the accuracy of predictive equations in myotonic dystrophy type 1
Aarts, W. J. A., Veen, B. V., Fuchs, C. J., Côté, C., Hover, L., van Loon, L. J. C., Keszthelyi, D., Mul, K., Faber, C. G., & Joosten, I. B. T. (2026) · Journal of Neuromuscular Diseases · doi:10.1177/22143602261470256
“18 Comparable observations have been reported in Duchenne muscular dystrophy (DMD), where basic metabolic rate is frequently reported to be lower than predicted by standard equations, but differences often diminish after correction for FFM. 37 At the same time, evidence from healthy populations suggests that body comp…”
Body composition and energy expenditure of patients with Fibrodysplasia Ossificans Progressiva
Rosenberg, N. M., Obdam, L. E. M., Lubbers, S. P., Spapens, Y., de Vries-Verweij, E. C. E., Micha, D., Teunissen, B. P., van der Spek, A. H., Soeters, M. R., Botman, E., et al. (2026) · Bone · doi:10.1016/j.bone.2026.118038
The Importance of Energy Requirements, Dietary Energy Intake, and Adverse Effects of Inadequate Energy Intake in Bariatric Surgery: A Mini-Review
Karaçallı, A. (2026) · Bariatric Surgical Practice and Patient Care · doi:10.1177/2168023x261488092
Assessing the metabolic rate in patients with Amyotrophic Lateral Sclerosis, Progressive Muscular Atrophy, and Primary Lateral Sclerosis
van Mantgem, M. R. J., Kuiper, M. M., Steyn, F. J., Holdom, C. J., Meyjes, M., Kok, A., Ngo, S. T., van den Berg, L. H., & van Eijk, R. P. A. (2026) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.1080/21678421.2026.2745871

Authors: Nelson, K., Weinsier, R., Long, C., & Schutz, Y.
Affiliations: University of Alabama at Birmingham (US)
Corresponding author: Nelson, KM
Venue: The American Journal of Clinical Nutrition
Publisher: Elsevier BV
Published: 1992-11
Volume: 56
Issue: 5
Pages: 848-856
ISSN: 0002-9165 (ISSN-L)
DOI: 10.1093/ajcn/56.5.848
OpenAlex: W1954962848
Cited by: 371
References: 44
Citations by year: 2026: 11 · 2025: 3 · 2024: 10 · 2023: 13 · 2022: 16 · 2021: 23 · 2020: 19 · 2019: 9 · 2018: 17 · 2017: 15 · 2016: 15 · 2015: 19 · 2014: 16 · 2013: 16 · 2012: 13
FWCI: 1.95
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: American Journal of Clinical Nutrition (publishedVersion)
PubMed (publishedVersion)
IRIS (submittedVersion)
SERVAL (Université de Lausanne) (submittedVersion)
Topics: Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
Keywords: resting energy expenditure, fat-free mass, fat mass, body composition, energy expenditure estimation, regression models, skeletal muscle mass, organ mass, adults
MeSH terms: Adipose Tissue, Adult, Basal Metabolism, Body Composition, Energy Metabolism, Female, Humans, Male, Mathematics, Models, Biological, Obesity, Regression Analysis

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.

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Prediction of resting energy expenditure from fat-free mass and fat mass

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks