The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Is obesity contagious? Social networks vs. environmental factors in the obesity epidemic
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Citations
Cites
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
The Body-Mass Index of Twins Who Have Been Reared Apart
Stunkard, A. J., Harris, J. R., Pedersen, N. L., & McClearn, G. E. (1990) · New England Journal of Medicine · doi:10.1056/nejm199005243222102 · Cited by 1,286
Research works printed but not linked: 11
- Bramoullé, Y., Djebbari, H., Fortin, B., 2007. Identification of Peer Effects through Social Networks. University of Laval Working Paper. · DOI
- Coady, 2002, Genetic variability of adult body mass index: a longitudinal assessment in Framingham families, Obesity, 10, 675, 10.1038/oby.2002.91 · DOI
- Cohen-Cole, Ethan, Fletcher, J.M., 2008. Is Obesity Contagious? Social Networks vs. Environmental Factors in the Obesity Epidemic. SSRN Working Paper. · DOI
- Cutler, 2003, Why have Americans become more obese?, Journal of Economic Perspectives, 17-3, 93, 10.1257/089533003769204371 · DOI · Paper page
- Durlauf, 2004, Neighborhood effects, Vol. 4, 2173
- Flegal, 2002, Prevalence and trends in obesity among US adults, 1999–2000, Journal of the American Medical Association, 288, 1723, 10.1001/jama.288.14.1723 · DOI · Paper page
- Hedley, 2004, Prevalence of overweight and obesity among US children, adolescents, and adults, 1999–2002, Journal of the American Medical Association, 291, 2847, 10.1001/jama.291.23.2847 · DOI · Paper page
- Krauth, 2006, Simulation based evidence of peer effects, Journal of Econometrics, 133, 243, 10.1016/j.jeconom.2005.03.015 · DOI
- Lee, 2007, Identification and estimation of econometric models with group interactions, contextual factors and fixed effects, Journal of Econometrics, 140, 333, 10.1016/j.jeconom.2006.07.001 · DOI · Paper page
- Manski, 1993, Identification of endogenous social effects: the reflection problem, Review of Economic Studies, 60-3, 531, 10.2307/2298123 · DOI · Paper page
- Philipson, 2003, The long-run growth in obesity as a function of technological change, Perspectives in Biology and Medicine, 46-3, S87, 10.1353/pbm.2003.0058 · DOI
Cited by
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
Experimental evidence of massive-scale emotional contagion through social networks
Kramer, A. D. I., Guillory, J. E., & Hancock, J. T. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320040111 · Cited by 3,687
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kiciman, E. (2016) · doi:10.2139/ssrn.2886526 · Cited by 763
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019) · Frontiers in Big Data · doi:10.3389/fdata.2019.00013 · Cited by 763
“While Christakis and Fowler (2007) found obesity to spread through peer influence in social networks, others suggest that unobserved confounds correlating with the social network structure (Lyons, 2011) or environmental exposure (Cohen-Cole and Fletcher, 2008) may be the culprit rather than peer influence.”
Balbo, N., Billari, F. C., & Mills, M. (2013) · European Journal of Population / Revue européenne de Démographie · doi:10.1007/s10680-012-9277-y · Cited by 623
Formalizing the role of agent-based modeling in causal inference and epidemiology
Marshall, B. D. L., & Galea, S. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwu274 · Cited by 192
An integrative approach to health
Harris, K. M. (2010) · Demography · doi:10.1353/dem.0.0091 · Cited by 192
The spread of evidence-poor medicine via flawed social-network analysis
Lyons, R. (2011) · Statistics, Politics, and Policy · doi:10.2202/2151-7509.1024 · Cited by 182
You Tweet What You Eat: Studying Food Consumption Through Twitter
Abbar, S., Mejova, Y., & Weber, I. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702153 · Cited by 165
Nonproduction Benefits of Education
Lance, L. (2011) · Handbook of the Economics of Education · doi:10.1016/b978-0-444-53444-6.00002-x · Cited by 119
Zhang, J., Tong, L., Lamberson, P. J., Durazo-Arvizu, R. A., Luke, A., & Shoham, D. A. (2015) · Social Science & Medicine · doi:10.1016/j.socscimed.2014.05.049 · Cited by 97
Metadata
- Authors
- Cohen-Cole, E., & Fletcher, J. M.
- Venue
- Journal of Health Economics
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 27
- Issue
- 5
- Pages
- 1382-1387
- ISSN
- 0167-6296 (ISSN-L)
- OpenAlex
- W1985780260
- Cited by
- 479
- References
- 2
- FWCI
- 25.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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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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Data sources
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.
