ArticleRoyal Society open science2023
Accelerometer-based predictions of behaviour elucidate factors affecting the daily activity patterns of spotted hyenas.
Article in Royal Society open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Practical guidelines for validation of supervised machine learning models in accelerometer-based animal behaviour classification.The Journal of animal ecology · 2025Pooled it
- Smartphone movement data can reliably predict smoking lapses and cravings to enable timely smoking cessation support.Scientific reports · 2026Article
- Review
- Circadian activity predicts breeding phenology in the Asian burying beetleRoyal Society open science · 2025Article
- Behavioral sequences across multiple animal species in the wild share common structural features.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Effects of vasectomy on breeding-related movement and activity in free-ranging white-tailed deer.Movement ecology · 2025Article
- The Complementary Role of Gestures in Spotted Hyena (Animals : an open access journal from MDPI · 2025Review
- A benchmark for computational analysis of animal behavior, using animal-borne tags.Movement ecology · 2024Article
- Swimming through sand: using accelerometers to observe the cryptic, pre-emergence life-stage of sea turtle hatchlings.Proceedings. Biological sciences · 2024Article
- Accelerometer-based predictions of behaviour elucidate factors affecting the daily activity patterns of spotted hyenas.Royal Society open science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Animal activity patterns are highly variable and influenced by internal and external factors, including social processes. Quantifying activity patterns in natural settings can be challenging, as it is difficult to monitor animals over long time periods. Here, we developed and validated a machine-learning-based classifier to identify behavioural states from accelerometer data of wild spotted hyenas
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.