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Artificial Selection for Increased Wheel-Running Behavior in House Mice
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Citations
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Garland, T., Schutz, H., Chappell, M. A., Keeney, B. K., Meek, T. H., Copes, L. E., Acosta, W., Drenowatz, C., Maciel, R. C., van Dijk, G., et al. (2011) · Journal of Experimental Biology · doi:10.1242/jeb.048397 · Cited by 444
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Zhang, Y., Lee, T.-S., Kolb, E. M., Sun, K., Lu, X., Sladek, F. M., Kassab, G. S., Garland, T., & Shyy, J. Y.-J. (2006) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000221230.08596.98 · Cited by 212
Novel quantitative phenotypes of exercise training in mouse models
De Bono, J. P., Adlam, D., Paterson, D. J., & Channon, K. M. (2006) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00694.2005 · Cited by 197
Guidelines for animal exercise and training protocols for cardiovascular studies
Poole, D. C., Copp, S. W., Colburn, T. D., Craig, J. C., Allen, D. L., Sturek, M., O’Leary, D. S., Zucker, I. H., & Musch, T. I. (2020) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00697.2019 · Cited by 139
Johnson, R. A., Rhodes, J. S., Jeffrey, S. L., Garland, T., & Mitchell, G. S. (2003) · Neuroscience · doi:10.1016/s0306-4522(03)00422-6 · Cited by 113
Self-citationvan der Voet, M., Harich, B., Franke, B., & Schenck, A. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.55 · Cited by 99
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Waters, R. P., Renner, K. J., Summers, C. H., Watt, M. J., Forster, G. L., Koch, L. G., Britton, S. L., & Swallow, J. G. (2010) · Brain Research · doi:10.1016/j.brainres.2010.07.078 · Cited by 15
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Metadata
- Authors
- Swallow, J. G., Carter, P. A., & Garland, T.
- Venue
- Behavior Genetics
- Published
- 1998-05
- Volume
- 28
- Issue
- 3
- Pages
- 227-237
- ISSN
- 0001-8244 (ISSN-L)
- 1573-3297
- OpenAlex
- W1548178315
- Cited by
- 384
- References
- 0
- FWCI
- 5.31
- 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.
Statistics and arithmetic are recomputed, not judged.
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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.