Evidence map›Paper›PMID 41433091›Full record

ArticleEuropean journal of sport science2026

Deriving Movement Categories in Rugby Sevens.

Ciara Finnegan, Michael Scriney, Anna Donnla O'Hagan, Laura McManus, Orlaith Curran, Jane C Walsh, Marija Bezbradica

Abstract read
In one paragraph

Article in European journal of sport science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Deriving Movement Categories in Rugby Sevens.European journal of sport science · 2026
    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

7 authors.

Ciara FinneganSchool of Health and Human Performance, Dublin City University, Dublin, Ireland.ORCID https://orcid.org/0009-0000-3908-1029
Michael ScrineySchool of Computing, Dublin City University, Dublin, Ireland.ORCID https://orcid.org/0000-0001-6813-2630
Anna Donnla O'HaganSchool of Health and Human Performance, Dublin City University, Dublin, Ireland.ORCID https://orcid.org/0000-0001-7509-8960
Laura McManusSchool of Health and Human Performance, Dublin City University, Dublin, Ireland.ORCID https://orcid.org/0000-0002-0139-1133
Orlaith CurranIrish Rugby Football Union, High Performance Centre, Dublin, Ireland.ORCID https://orcid.org/0000-0002-3158-9335
Jane C WalshSchool of Psychology, University of Galway, Galway, Ireland.ORCID https://orcid.org/0000-0001-5476-1348
Marija BezbradicaSchool of Computing, Dublin City University, Dublin, Ireland.ORCID https://orcid.org/0000-0001-9366-5113

Funding

Science Foundation Ireland 18/CRT/6224.
6 · The paper itself

Abstract

The primary aim of this study was to generate sport-specific movement category velocity thresholds for elite rugby sevens male and female players. Match activity data were collected via Global Positioning Systems (GPS) (10 Hz) from 19 male and 11 female players during 88 competitive international fixtures during the 2022/2023 and 2023/2024 seasons. A two-stage unsupervised clustering method was applied. The elbow method, a technique used to determine the optimal number of clusters in a dataset, was first applied to identify the number of movement categories. Spectral clustering was then used to define the velocity thresholds corresponding to each category. For both male and female rugby sevens, four movement categories were identified with varying velocity thresholds. The male movement category velocity thresholds were low (0.0-2.05 m.s

Indexed as

Athletic PerformanceFootballAdultCluster AnalysisFemaleGeographic Information SystemsHumansMaleMovementYoung Adultglobal positioning systemsmachine learningrugby footballteam sportvelocity thresholds

Identifiers

PMID41433091
PMCPMC12724575

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.