Evidence map›Paper›PMID 39183964›Full record

ArticleData in brief2024

Inertial sensor data of horses from four breeds at walk and trot in hand on a straight line.

Annik Imogen Gmel, Eyrún Halla Haraldsdóttir, Filipe Serra-Bragança, Luis P Lamas, Teresa V Rosa, Monika Stefaniuk-Szmukier, Weronika Klecel, Markus Neuditschko, Michael A Weishaupt

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2024. 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

9 authors.

Annik Imogen GmelAgroscope, Animal GenoPhenomics, Route de la Tioleyre 4, 1725 Posieux, Switzerland.
Eyrún Halla HaraldsdóttirAgroscope, Animal GenoPhenomics, Route de la Tioleyre 4, 1725 Posieux, Switzerland.
Filipe Serra-BragançaDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 114, 3584 CM, Utrecht, the Netherlands.
Luis P LamasCIISA, Faculdade de Medicina Veterináriada Universidade de Lisboa, Lisboa, Portugal.
Teresa V RosaCIISA, Faculdade de Medicina Veterináriada Universidade de Lisboa, Lisboa, Portugal.
Monika Stefaniuk-SzmukierNational Research Institute of Animal Production, University of Agriculture in Krakow, Krakow, Poland.
Weronika KlecelDepartment of Animal Genetics and Conservation, Institute of Animal Sciences, Warsaw University of Life Sciences, Warsaw, Poland.
Markus NeuditschkoEquine Department, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 260, 8057 Zurich, Switzerland.
Michael A WeishauptAgroscope, Animal GenoPhenomics, Route de la Tioleyre 4, 1725 Posieux, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horses have been used and bred for centuries for their movements. However, specific breeds are expected to have different movement capabilities. We have measured 425 horses from four different breeds at walk and trot on a straight line using an inertial measurement unit (IMU) system (EquiMoves®). This article describes how the data was collected, filtered and analysed to provide a useable dataset of 28 movement variables. It provides a full protocol for field measurements and requirements for adequate trials for analysis. Intra-class correlation coefficient estimates are also provided to assess repeatability of the measurements.

Indexed as

EquineGait qualityLocomotionProtractionRetractionStride length

Identifiers

PMID39183964
PMCPMC11342895

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.