The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Quantifying resilience of humans and other animals
Open accessAbstract
All life requires the capacity to recover from challenges that are as inevitable as they are unpredictable. Understanding this resilience is essential for managing the health of humans and their livestock. It has long been difficult to quantify resilience directly, forcing practitioners to rely on indirect static indicators of health. However, measurements from wearable electronics and other sources now allow us to analyze the dynamics of physiology and behavior with unsurpassed resolution. The resulting flood of data coincides with the emergence of novel analytical tools for estimating resilience from the pattern of microrecoveries observed in natural time series. Such dynamic indicators of resilience may be used to monitor the risk of systemic failure across systems ranging from organs to entire organisms. These tools invite a fundamental rethinking of our approach to the adaptive management of health and resilience.
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Cites
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Cited by
Roefs, A., Fried, E. I., Kindt, M., Martijn, C., Elzinga, B., Evers, A. W. M., Wiers, R. W., Borsboom, D., & Jansen, A. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2022.104096 · Cited by 185
Self-citationA complex systems approach to the study of change in psychotherapy
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Resilience in Clinical Care: Getting a Grip on the Recovery Potential of Older Adults
Gijzel, S. M. W., Whitson, H. E., van de Leemput, I. A., Scheffer, M., van Asselt, D., Rector, J. L., Olde Rikkert, M. G. M., & Melis, R. J. F. (2019) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16149 · Cited by 92
Self-citationContext matters for affective chronometry.
Lapate, R. C., & Heller, A. S. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0860-7 · Cited by 46
Fritz, J., Stochl, J., Fried, E. I., Goodyer, I. M., van Borkulo, C. D., Wilkinson, P. O., & van Harmelen, A.-L. (2019) · BMC Medicine · doi:10.1186/s12916-019-1430-6 · Cited by 40
Metadata
- Authors
- Scheffer, M., Bolhuis, J. E., Borsboom, D., Buchman, T. G., Gijzel, S. M. W., Goulson, D., Kammenga, J. E., Kemp, B., van de Leemput, I. A., Levin, S., Martin, C. M., Melis, R. J. F., van Nes, E. H., Romero, L. M., & Olde Rikkert, M. G. M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2018-10-29
- Volume
- 115
- Issue
- 47
- Pages
- 11883-11890
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2899329687
- Cited by
- 355
- References
- 110
- FWCI
- 16.84
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Scheffer, M., Bolhuis, J. E., Borsboom, D., Buchman, T. G., Gijzel, S. M. W., Goulson, D., Kammenga, J. E., Kemp, B., van de Leemput, I. A., Levin, S., Martin, C. M., Melis, R. J. F., van Nes, E. H., Romero, L. M., & Olde Rikkert, M. G. M. (2018). Quantifying resilience of humans and other animals. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1810630115
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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.