The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
An overview of USDA's Dietary Intake Data System
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Cites
Briefel, R., McDowell, M., Alaimo, K., Caughman, C., Bischof, A., Carroll, M., & Johnson, C. (1995) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/62.5.1072s · Cited by 205
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Ultra-processed food consumption and excess weight among US adults
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Need for Technological Innovation in Dietary Assessment
Thompson, F. E., Subar, A. F., Loria, C. M., Reedy, J. L., & Baranowski, T. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.10.008 · Cited by 349
Grandner, M. A., Jackson, N., Gerstner, J. R., & Knutson, K. L. (2013) · Appetite · doi:10.1016/j.appet.2013.01.004 · Cited by 310
Shifts in patterns and consumption of beverages between 1965 and 2002
Duffey, K. J., & Popkin, B. M. (2007) · Obesity · doi:10.1038/oby.2007.326 · Cited by 297
Sleep symptoms associated with intake of specific dietary nutrients
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Nutrition transition in the United Arab Emirates
Ng, S. W., Zaghloul, S., Ali, H., Harrison, G., Yeatts, K., El Sadig, M., & Popkin, B. M. (2011) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2011.135 · Cited by 228
Subar, A. F., Crafts, J., Zimmerman, T. P., Wilson, M., Mittl, B., Islam, N. G., McNutt, S., Potischman, N., Buday, R., Hull, S. G., et al. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.10.007 · Cited by 224
Dietary Assessment Toolkits: An Overview
Dao, M. C., Subar, A. F., Warthon-Medina, M., Cade, J. E., Burrows, T., Golley, R. K., Forouhi, N. G., Pearce, M., & Holmes, B. A. (2019) · Public Health Nutrition · doi:10.1017/s1368980018002951 · Cited by 176
Baer, D. J., Stote, K. S., Paul, D. R., Harris, G. K., Rumpler, W. V., & Clevidence, B. A. (2011) · The Journal of Nutrition · doi:10.3945/jn.111.139840 · Cited by 169
Agarwal, S., Reider, C., Brooks, J. R., & Fulgoni, V. L. (2015) · Journal of the American College of Nutrition · doi:10.1080/07315724.2014.901196 · Cited by 126
Shostrom, D. C. V., Sun, Y., Oleson, J. J., Snetselaar, L. G., & Bao, W. (2017) · Frontiers in Endocrinology · doi:10.3389/fendo.2017.00144 · Cited by 96
Vijayakumar, M., Vasudevan, D. M., Sundaram, K. R., Krishnan, S., Vaidyanathan, K., Nandakumar, S., Chandrasekhar, R., & Mathew, N. (2016) · Indian Heart Journal · doi:10.1016/j.ihj.2015.10.384 · Cited by 88
Micronutrient Adequacy of Women’s Diet in Urban Burkina Faso Is Low
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“Survey Net, a computer assisted food coding and data management system developed by the USDA, and the FNDDS were used for NHANES 2002–2004 data [36, 37].”
MethodDawson, J., Campbell, K. L., Craig, J. C., Tong, A., Teixeira-Pinto, A., Brown, M. A., Howard, K., Howell, M., Khalid, R., Sud, K., et al. (2021) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2020.11.015 · Cited by 49
Taylor, S., Korpusik, M., Das, S., Gilhooly, C., Simpson, R., Glass, J., & Roberts, S. (2021) · Journal of Medical Internet Research · doi:10.2196/26988 · Cited by 26
Glaucoma Prevalence and the Intake of Iron and Calcium in a Population-based Study
Wang, S. Y., Singh, K., & Lin, S. C. (2013) · Current Eye Research · doi:10.3109/02713683.2013.803124 · Cited by 25
Kang, C., Qiao, Q., Tong, Q., Bai, Q., Huang, C., Fan, R., Wang, H., Kaliannan, K., Wang, J., & Xu, J. (2021) · Scientific Reports · doi:10.1038/s41598-021-99527-y · Cited by 14
Metadata
- Authors
- Raper, N., Perloff, B., Ingwersen, L., Steinfeldt, L., & Anand, J.
- Venue
- Journal of Food Composition and Analysis
- Publisher
- Elsevier BV
- Published
- 2004-06
- Volume
- 17
- Issue
- 3-4
- Pages
- 545-555
- ISSN
- 0889-1575 (ISSN-L)
- OpenAlex
- W2119237954
- Cited by
- 653
- References
- 1
- FWCI
- 7.02
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
