Evidence map›Paper›PMID 41426641›Full record

ArticleEcology and evolution2025

AccelerometerBehavior: R Package for Classifying Ungulate Behaviors Into Three States.

Rachel A Smiley, Seth T Rankins, Lindsay Millward, Jack N Gavin, Daniel P Thompson, John A Crouse, Peach Van Wick, Katie Anderson, Clinton W Epps, Anna E Jolles and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

18 authors.

Rachel A SmileyHaub School of the Environment and Natural Resources University of Wyoming Laramie Wyoming USA.ORCID https://orcid.org/0000-0001-7230-508X
Seth T RankinsHaub School of the Environment and Natural Resources University of Wyoming Laramie Wyoming USA.
Lindsay MillwardDepartment of Fisheries, Wildlife, and Conservation Sciences Oregon State University Corvallis Oregon USA.
Jack N GavinHaub School of the Environment and Natural Resources University of Wyoming Laramie Wyoming USA.
Daniel P ThompsonAlaska Department of Fish and Game Kenai Moose Research Center Soldotna Alaska USA.
John A CrouseAlaska Department of Fish and Game Kenai Moose Research Center Soldotna Alaska USA.
Peach Van WickTom Thorne and Beth Williams Wildlife Research Center at Sybille, Wyoming Game and Fish Department Wheatland Wyoming USA.
Katie AndersonSchool of the Environment Washington State University Pullman Washington USA.
Clinton W EppsDepartment of Fisheries, Wildlife, and Conservation Sciences Oregon State University Corvallis Oregon USA.
Anna E JollesCarlson College of Veterinary Medicine Oregon State University Corvallis Oregon USA.
Brianna R BeechlerCarlson College of Veterinary Medicine Oregon State University Corvallis Oregon USA.
Rebecca L LevineHaub School of the Environment and Natural Resources University of Wyoming Laramie Wyoming USA.
Tayler N LaSharrSchool of Computing University of Wyoming Laramie Wyoming USA.
Brittany L WaglerHaub School of the Environment and Natural Resources University of Wyoming Laramie Wyoming USA.
Rebekah T RaffertyHaub School of the Environment and Natural Resources University of Wyoming Laramie Wyoming USA.
Alyson B CourtemanchWyoming Game and Fish Department Jackson Wyoming USA.
Tony W MongWyoming Game and Fish Department Cody Wyoming USA.
Kevin L MonteithHaub School of the Environment and Natural Resources University of Wyoming Laramie Wyoming USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in technology provide new opportunities to study animal behavior at increasingly fine scales. GPS collars for wildlife are commonly equipped with accelerometers, which record fine-scale movements with relatively little energy demand, yet the data remain underutilized. We paired activity data with behavioral states from direct observations and developed random forest models to classify behaviors into 'stationary', 'foraging', and 'traveling' states for 3 ungulate species (bighorn sheep,

Indexed as

accelerometeractivity budgetsactivity databighorn sheepmoosemule deerungulates

Identifiers

PMID41426641
PMCPMC12714423

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.