Evidence map›Paper›PMID 28357113›Full record

ArticleMovement ecology2017

Identification of animal movement patterns using tri-axial magnetometry.

Hannah J Williams, Mark D Holton, Emily L C Shepard, Nicola Largey, Brad Norman, Peter G Ryan, Olivier Duriez, Michael Scantlebury, Flavio Quintana, Elizabeth A Magowan and 4 more

Open access · goldAbstract read
In one paragraph

Article in Movement ecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
11.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 153 citations in OpenAlex.

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  13. Inertial Navigation on Extremely Resource-Constrained Platforms: Methods, Opportunities and Challenges.IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 5 countries.

Hannah J WilliamsDepartment of Biosciences, College of Science, Swansea University, Swansea, SA2 8PP UK.
Mark D HoltonDepartment of Biosciences, College of Science, Swansea University, Swansea, SA2 8PP UK.
Emily L C ShepardDepartment of Biosciences, College of Science, Swansea University, Swansea, SA2 8PP UK.
Nicola LargeyDepartment of Biosciences, College of Science, Swansea University, Swansea, SA2 8PP UK.
Brad NormanECOCEAN Inc. (Aust.), ECOCEAN (USA), C/o 68a Railway Street, Perth, WA 6011 Australia.
Peter G RyanFitzPatrick Institute of African Ornithology, DST-NRF Centre of Excellence, University of Cape Town, Rondebosch, 7701 South Africa.
Olivier DuriezCEFE UMR 5175, CNRS, Université de Montpellier, Université Paul-Valéry Montpellier, EPHE, 1919 route de Mende, 34293 Montpellier Cedex 5, France.
Michael ScantleburySchool of Biological Sciences, Institute for Global Food Security, Queen's University Belfast, Belfast, Ireland.
Flavio QuintanaCentro Nacional Patagónico, CONICET (9120), Puerto Madryn, Chubut Argentina.
Elizabeth A MagowanSchool of Biological Sciences, Institute for Global Food Security, Queen's University Belfast, Belfast, Ireland.
Nikki J MarksSchool of Biological Sciences, Institute for Global Food Security, Queen's University Belfast, Belfast, Ireland.
Abdulaziz N AlagailiKSU Mammals Research Chair, Department of Zoology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451 Saudi Arabia.
Nigel C BennettDepartment of Zoology and Entomology, University of Pretoria, Pretoria, South Africa.
Rory P WilsonDepartment of Biosciences, College of Science, Swansea University, Swansea, SA2 8PP UK.
Swansea University · GBQueen's University Belfast · GBConsejo Nacional de Investigaciones Científicas y Técnicas · ARÉcole Pratique des Hautes Études · FRKing Saud University · SAUniversity of Cape Town · ZAUniversity of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccelerometers are powerful sensors in many bio-logging devices, and are increasingly allowing researchers to investigate the performance, behaviour, energy expenditure and even state, of free-living animals. Another sensor commonly used in animal-attached loggers is the magnetometer, which has been primarily used in dead-reckoning or inertial measurement tags, but little outside that. We examine the potential of magnetometers for helping elucidate the behaviour of animals in a manner analogous to, but very different from, accelerometers. The particular responses of magnetometers to movement means that there are instances when they can resolve behaviours that are not easily perceived using accelerometers.

methodsWe calibrated the tri-axial magnetometer to rotations in each axis of movement and constructed 3-dimensional plots to inspect these stylised movements. Using the tri-axial data of Daily Diary tags, attached to individuals of number of animal species as they perform different behaviours, we used these 3-d plots to develop a framework with which tri-axial magnetometry data can be examined and introduce metrics that should help quantify movement and behaviour..

resultsTri-axial magnetometry data reveal patterns in movement at various scales of rotation that are not always evident in acceleration data. Some of these patterns may be obscure until visualised in 3D space as tri-axial spherical plots (

conclusionMagnetometer-based techniques and metrics can enhance our capacity to identify and examine animal behaviour, either as a technique used alone, or one that is complementary to tri-axial accelerometry.

Indexed as

AccelerometerAngular velocityAnimal behaviourBehavioural consistencyBio-loggingMagnetic fieldMagnetometerNormal operational plane

Identifiers

PMID28357113
PMCPMC5367006
OpenAlexW2593472733

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.