The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Predictors of public climate change awareness and risk perception around the world
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
A new method for non-parametric multivariate analysis of variance
Anderson, M. J. (2001) · Austral Ecology · doi:10.1111/j.1442-9993.2001.01070.pp.x · Cited by 13,828
Unbiased Recursive Partitioning: A Conditional Inference Framework
Hothorn, T., Hornik, K., & Zeileis, A. (2006) · Journal of Computational and Graphical Statistics · doi:10.1198/106186006x133933 · Cited by 4,021
High income improves evaluation of life but not emotional well-being
Kahneman, D., & Deaton, A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011492107 · Cited by 3,162
Strobl, C., Malley, J., & Tutz, G. (2009) · Psychological Methods · doi:10.1037/a0016973 · Cited by 2,583
Risk perceptions, general environmental beliefs, and willingness to address climate change
O'Connor, R. E., Bard, R. J., & Fisher, A. (1999) · Risk Analysis · doi:10.1111/j.1539-6924.1999.tb00421.x · Cited by 957
The psychological impacts of global climate change
Doherty, T. J., & Clayton, S. (2011) · American Psychologist · doi:10.1037/a0023141 · Cited by 894
Public understanding of climate change in the United States.
Weber, E. U., & Stern, P. C. (2011) · American Psychologist · doi:10.1037/a0023253 · Cited by 841
Cited by
Carbon lock-in: types, causes, and policy implications
Seto, K. C., Davis, S. J., Mitchell, R. B., Stokes, E. C., Unruh, G., & Ürge-Vorsatz, D. (2016) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-110615-085934 · Cited by 1,346
Watts, N., Amann, M., Ayeb-Karlsson, S., Belesova, K., Bouley, T., Boykoff, M., Byass, P., Cai, W., Campbell-Lendrum, D., Chambers, J., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(17)32464-9 · Cited by 1,236
Social tipping dynamics for stabilizing Earth’s climate by 2050
Otto, I. M., Donges, J. F., Cremades, R., Bhowmik, A., Hewitt, R. J., Lucht, W., Rockström, J., Allerberger, F., McCaffrey, M., Doe, S. S. P., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1900577117 · Cited by 958
Co-benefits of addressing climate change can motivate action around the world
Bain, P. G., Milfont, T. L., Kashima, Y., Bilewicz, M., Doron, G., Garðarsdóttir, R. B., Gouveia, V. V., Guan, Y., Johansson, L.-O., Pasquali, C., et al. (2016) · Nature Climate Change · doi:10.1038/nclimate2814 · Cited by 447
Verplanken, B., Marks, E., & Dobromir, A. I. (2020) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2020.101528 · Cited by 414
Metadata
- Authors
- Lee, T. M., Markowitz, E. M., Howe, P. D., Ko, C.-Y., & Leiserowitz, A. A.
- Venue
- Nature Climate Change
- Published
- 2015-07-27
- Volume
- 5
- Issue
- 11
- Pages
- 1014-1020
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2196600089
- Cited by
- 1,356
- References
- 8
- FWCI
- 207.08
- 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: Predictors of public climate change awareness and risk perception around the world. https://app.cochat.ai/papers/10.1038/nclimate2728
- The paper
- Lee, T. M., Markowitz, E. M., Howe, P. D., Ko, C.-Y., & Leiserowitz, A. A. (2015). Predictors of public climate change awareness and risk perception around the world. Nature Climate Change. https://doi.org/10.1038/nclimate2728
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.