The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Seeing is believing: The effect of brain images on judgments of scientific reasoning
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Citations
Cites
Statistical Power Analysis for the Behavioral Sciences
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Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,395
Minnesota studies in the philosophy of science
Feigl, H., & Scriven, M. S. (1956) · Cited by 4,420
Can cognitive processes be inferred from neuroimaging data?
POLDRACK, R. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.12.004 · Cited by 2,249
Representation in Scientific Practice
Lynch, M., & Woolgar, S. (1990) · Oxford University Research Archive (ORA) (University of Oxford) · Cited by 1,797
Peer-review practices of psychological journals: The fate of published articles, submitted again
Peters, D. P., & Ceci, S. J. (1982) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00011183 · Cited by 1,079 · cited 1×
“In this respect the present data are unlike previous reports showing that more ostensibly relevant factors, such as the institutional affiliation of the scientists, can influence judgments of scientific credibility ( Peters, & Ceci, 1982 ).”
ResultThe Seductive Allure of Neuroscience Explanations
Weisberg, D. S., Keil, F. C., Goodstein, J., Rawson, E., & Gray, J. R. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20040 · Cited by 1,063
Picturing Personhood: Brain Scans and Biomedical Identity
Dumit, J. (2004) · Project Muse (Johns Hopkins University) · Cited by 465
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Cited by
Van Dam, N. T., van Vugt, M. K., Vago, D. R., Schmalzl, L., Saron, C. D., Olendzki, A., Meissner, T., Lazar, S. W., Kerr, C. E., Gorchov, J., et al. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691617709589 · Cited by 1,506
Do “brain-training” programs work?
Simons, D. J., Boot, W. R., Charness, N., Gathercole, S. E., Chabris, C. F., Hambrick, D. Z., & Stine-Morrow, E. A. L. (2016) · Psychological Science in the Public Interest · doi:10.1177/1529100616661983 · Cited by 1,183
Johnson, S. B., Blum, R. W., & Giedd, J. N. (2009) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2009.05.016 · Cited by 631
Neuromyths in Education: Prevalence and Predictors of Misconceptions among Teachers
Dekker, S., Lee, N. C., Howard-Jones, P., & Jolles, J. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00429 · Cited by 633
Roese, N. J., & Vohs, K. D. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612454303 · Cited by 457
Metadata
- Authors
- McCabe, D. P., & Castel, A. D.
- Venue
- Cognition
- Publisher
- Elsevier BV
- Published
- 2008-04
- Volume
- 107
- Issue
- 1
- Pages
- 343-352
- ISSN
- 0010-0277 (ISSN-L)
- OpenAlex
- W2013758811
- Cited by
- 656
- References
- 14
- FWCI
- 8.82
- 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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- CoChat. (2026). Citation check: Seeing is believing: The effect of brain images on judgments of scientific reasoning. https://app.cochat.ai/papers/10.1016/j.cognition.2007.07.017
- The paper
- McCabe, D. P., & Castel, A. D. (2008). Seeing is believing: The effect of brain images on judgments of scientific reasoning. Cognition. https://doi.org/10.1016/j.cognition.2007.07.017
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.