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Advancing a Biopsychosocial and Contextual Model of Sleep in Adolescence: A Review and Introduction to the Special Issue
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Cited by
Vernon, L., Modecki, K. L., & Barber, B. L. (2018) · Child Development · doi:10.1111/cdev.12836 · Cited by 152
Sleep disturbances in adolescents with ADHD: A systematic review and framework for future research
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Adolescents with a smartphone sleep less than their peers
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“College students worldwide face many biopsychosocial spiritual and economic issues (Becker et al. 2015; Ermis-Demirtas et al. 2018; Haktanir et al. 2018; Kalkan and Griffiths 2018; Karaman and Watson 2017; Krafft et al. 2019; Tanhan and Francisco 2019; Tanhan and Strack 2020).”
Background
Metadata
- Authors
- Becker, S. P., Langberg, J. M., & Byars, K. C.
- Venue
- Journal of Youth and Adolescence
- Published
- 2015-01-01
- Volume
- 44
- Issue
- 2
- Pages
- 239-270
- ISSN
- 0047-2891 (ISSN-L)
- 1573-6601
- OpenAlex
- W2008461683
- Cited by
- 188
- References
- 90
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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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.