Predicting movement intensity through anthro-fitness profiling and its association with match outcomes in youth badminton: a logistic regression-based machine approach
- DOI
- 10.1186/s13102-026-01954-9
- Published
- 2026-08-08
- Container
- BMC Sports Science, Medicine and Rehabilitation
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1186/s13102-026-01954-9,
title = {Predicting movement intensity through anthro-fitness profiling and its association with match outcomes in youth badminton: a logistic regression-based machine approach},
author = {Mohamad Nizam Nazarudin and Rabiu Muazu Musa and Anwar P. P. Abdul Majeed and Naresh Bhaskar Raj and Vijayamurugan Eswaramoorthi},
year = {2026},
journal = {BMC Sports Science, Medicine and Rehabilitation},
doi = {10.1186/s13102-026-01954-9},
url = {https://doi.org/10.1186/s13102-026-01954-9}
}RIS
TY - JOUR TI - Predicting movement intensity through anthro-fitness profiling and its association with match outcomes in youth badminton: a logistic regression-based machine approach AU - Mohamad Nizam Nazarudin AU - Rabiu Muazu Musa AU - Anwar P. P. Abdul Majeed AU - Naresh Bhaskar Raj AU - Vijayamurugan Eswaramoorthi PY - 2026 JO - BMC Sports Science, Medicine and Rehabilitation DO - 10.1186/s13102-026-01954-9 UR - https://doi.org/10.1186/s13102-026-01954-9 ER -
APA
Nazarudin, M. N., Musa, R. M., Majeed, A. P. P. A., Raj, N. B., & Eswaramoorthi, V. (2026). Predicting movement intensity through anthro-fitness profiling and its association with match outcomes in youth badminton: a logistic regression-based machine approach. BMC Sports Science, Medicine and Rehabilitation. https://doi.org/10.1186/s13102-026-01954-9
Source records
- crossref · retrieved 2026-11-10T19:16:39.215Z