Cited by 133Climate Change Communication and PerceptionClimate Change Policy and EconomicsClimate variability and models

The impacts of temperature anomalies and political orientation on perceived winter warming

McCright, Aaron M., Dunlap, Riley E., Xiao, Chenyang·2014·Nature Climate Change

Integrity signals

Registry

Crossref · 10.1038/nclimate2443

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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  • Public perception and understanding of climate change has remained polarized.

    “Public perception about the reality of climate change has remained polarized”

    From Credibility of climate change denial in social media (2019) · cites this paper as McCright et al., 2014

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Authors
McCright, A. M., Dunlap, R. E., & Xiao, C.
Affiliations
  • Michigan State University (US)
  • Oklahoma State University (US)
  • American University (US)
Corresponding author
McCright, Aaron M.
Venue
Nature Climate Change
Published
2014-11-24
Volume
4
Issue
12
Pages
1077-1081
ISSN
  • 1758-678X (ISSN-L)
  • 1758-6798
OpenAlex
W2005906361
Cited by
133
References
2
Citations by year
2026: 4 · 2025: 10 · 2024: 17 · 2023: 6 · 2022: 8 · 2021: 9 · 2020: 27 · 2019: 13 · 2018: 8 · 2017: 12 · 2016: 10 · 2015: 8 · 2014: 1
FWCI
31.29
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Climate Change (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
Keywords
temperature anomalies, winter temperature, climate change attribution, political orientation, climate change beliefs, climate change adaptation

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.

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