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Cited by 355

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 access
Scheffer, Marten, Bolhuis, J. Elizabeth, Borsboom, Denny, Buchman, Timothy G., Gijzel, Sanne M. W., Goulson, Dave, Kammenga, Jan E., Kemp, Bas, van de Leemput, Ingrid A., Levin, Simon, Martin, Carmel Mary, Melis, René J. F., van Nes, Egbert H., Romero, L. Michael, Olde Rikkert, Marcel G. M.·2018·Proceedings of the National Academy of Sciences

Abstract

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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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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CoChat. (2026). Citation check: Quantifying resilience of humans and other animals. https://app.cochat.ai/papers/10.1073/pnas.1810630115
The paper
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.