Markerless motion capture (mocap) could be the future of motion analysis. The purpose of this report was to describe our team of clinicians and scientists' exploration of markerless mocap (Theia 3D) and share data for others to explore (link: https://osf.io/6vh7z/?view_only=c0e00984e94a48f28c8d987a2127339d). Simultaneous mocap was performed using markerless and marker-based systems for walking, squatting, and forward hopping.…
JSAMS Plus Template
Write in a clean editor, then format for JSAMS Plus in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the JSAMS Plus format
JSAMS Plus is a peer-reviewed journal published by Elsevier, covering Sports injuries and prevention, Sports Performance and Training, Traumatic Brain Injury Research.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, JSAMS Plus 12 (2023) 45–58.
Formats any DOI in JSAMS Plus style. No sign-up. |
| Publishes research in | Sports injuries and prevention Sports Performance and Training Traumatic Brain Injury Research Sport Psychology and Performance Winter Sports Injuries and Performance |
| ISSN | 2772-6967 |
| Citation impact (2-yr) | 1.52 |
| h-index | 8 |
| i10-index | 7 |
| Total citations | 341 |
| Open access | Yes |
| Top institutions publishing here | The University of Sydney |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in JSAMS Plus per year
Citation impact of JSAMS Plus by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in JSAMS Plus
Objectives: The purpose of this scoping review was to explore what is known about eating disorders and disordered eating in elite youth athletes aged 12-18. This review intended to explore what is known about the prevalence, risk factors, and outcomes of these conditions. Design: Scoping Review. Method: A scoping review was conducted following the Johanna…
Objectives: In this study, we examined the practicability of deep learning-based 2D keypoint detection applied to regular skiing and injury situations (i.e., out-of-balance situations and fall situations) on an alpine ski racing track. Methods: We therefore created a regular skiing- and injury situation-specific dataset (hereinafter called "Injury Ski Dataset"), on which the state-of-the-art keypoint detection…
Objectives: This observational study compared incidence and characteristics of head impact events in matches in male youth under-18 football within Australia and India, to the Men's FIFA World Cup™ (FWC). Methods: Ten match videos from Australia, India and the 2018 FWC (total n = 30) were coded for head impact events (purposeful headers and unintentional…
Objectives: To summarise and systematically appraise the credibility, readability, and accuracy of the online information about knee crepitus. Design: Systematic appraisal of online information. Method: The top 20 URLs of two search engines (Google and Bing) for the following terms were screened for eligibility 'knee crepitus', 'knee sound', and 'knee crackling' (N = 120 websites).…