The DOI matches its Crossref record.
An Eye Movement Phenomenon Relating to Attention, Thought and Anxiety
Abstract
An eye movement phenomenon, which is thought to be related to the shifting of attention and personal ways of handling anxiety, is described and discussed in relation to certain research hypotheses.
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Citations
Cited by
Eye and Head Turning Indicates Cerebral Lateralization
Kinsbourne, M. (1972) · Science · doi:10.1126/science.176.4034.539 · Cited by 435
Hypnotizability, Laterality of Eye-Movements and Functional Brain Asymmetry
Bakan, P. (1969) · Perceptual and Motor Skills · doi:10.2466/pms.1969.28.3.927 · Cited by 329
Movement-based embodied contemplative practices: definitions and paradigms
Schmalzl, L., Crane-Godreau, M. A., & Payne, P. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00205 · Cited by 124
“Whether a system is embodied or not, whether it is movement-based or not, and whether it is contemplative or not, are all relevant distinctions, so let us look at each of these aspects separately.”
Background
Metadata
- Authors
- Day, M. E.
- Venue
- Perceptual and Motor Skills
- Publisher
- SAGE Publications
- Published
- 1964-10
- Volume
- 19
- Issue
- 2
- Pages
- 443-446
- ISSN
- 0031-5125 (ISSN-L)
- 1558-688X
- OpenAlex
- W2072184626
- Cited by
- 179
- References
- 0
- FWCI
- 2.68
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: An Eye Movement Phenomenon Relating to Attention, Thought and Anxiety. https://app.cochat.ai/papers/10.2466/pms.1964.19.2.443
- The paper
- Day, M. E. (1964). An Eye Movement Phenomenon Relating to Attention, Thought and Anxiety. Perceptual and Motor Skills. https://doi.org/10.2466/pms.1964.19.2.443
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.
