Evidence map›Paper›PMID 37177397›Full record

ArticleSensors (Basel, Switzerland)2023

Validation of Alogo Move Pro: A GPS-Based Inertial Measurement Unit for the Objective Examination of Gait and Jumping in Horses.

Kévin Cédric Guyard, Stéphane Montavon, Jonathan Bertolaccini, Michel Deriaz

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

4 authors at 2 institutions in 1 country.

Kévin Cédric GuyardInformation Science Institute GSEM/CUI, University of Geneva, 1227 Carouge, Switzerland.
Stéphane MontavonVeterinary Department of the Swiss Armed Force, 3003 Berne, Switzerland.ORCID 0000-0002-2511-4974
Jonathan BertolacciniInformation Science Institute GSEM/CUI, University of Geneva, 1227 Carouge, Switzerland.
Michel DeriazHES-SO/HEG Genève, 1227 Carouge, Switzerland.
University of Geneva · CHHES-SO Genève · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative information on how well a horse clears a jump has great potential to support the rider in improving the horse's jumping performance. This study investigated the validation of a GPS-based inertial measurement unit, namely Alogo Move Pro, compared with a traditional optical motion capture system. Accuracy and precision of the three jumping characteristics of maximum height (Zmax), stride/jump length (lhorz), and mean horizontal speed (vhorz) were compared. Eleven horse-rider pairs repeated two identical jumps (an upright and an oxer fence) several times (

Indexed as

GaitSoftwareAnimalsAzithromycinBiomechanical PhenomenaGeographic Information SystemsHorsesAzithromycinbiomechanicsgait analysisGPS sensorhorseIMUvalidation

Identifiers

PMID37177397
PMCPMC10181332
OpenAlexW4366828861

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.