The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Distribution of different fibre types in human skeletal muscles
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Data on the distribution of fibre types in thirty-six human muscles
Johnson, M. A., Polgar, J., Weightman, D., & Appleton, D. (1973) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(73)90023-3 · Cited by 2,200
Lexell, J., Henriksson‐Larsén, K., Winblad, B., & Sjöström, M. (1983) · Muscle & Nerve · doi:10.1002/mus.880060809 · Cited by 582
Self-citation
Cited by
Janssen, I., Heymsfield, S. B., & Ross, R. (2002) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2002.50216.x · Cited by 3,139
Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr
Janssen, I., Heymsfield, S. B., Wang, Z., & Ross, R. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.89.1.81 · Cited by 3,087
Goodpaster, B. H., Park, S. W., Harris, T. B., Kritchevsky, S. B., Nevitt, M., Schwartz, A. V., Simonsick, E. M., Tylavsky, F. A., Visser, M., Newman, A. B., et al. (2006) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/61.10.1059 · Cited by 3,083
Skeletal Muscle Cutpoints Associated with Elevated Physical Disability Risk in Older Men and Women
Janssen, I. (2004) · American Journal of Epidemiology · doi:10.1093/aje/kwh058 · Cited by 1,190
Sarcopenia: characteristics, mechanisms and functional significance
Narici, M. V., & Maffulli, N. (2010) · British Medical Bulletin · doi:10.1093/bmb/ldq008 · Cited by 827
Metadata
- Authors
- Lexell, J., Downham, D., & Sjöström, M.
- Venue
- Journal of the Neurological Sciences
- Publisher
- Elsevier BV
- Published
- 1986-02
- Volume
- 72
- Issue
- 2-3
- Pages
- 211-222
- ISSN
- 0022-510X (ISSN-L)
- OpenAlex
- W2031569153
- Cited by
- 342
- References
- 2
- FWCI
- 1.93
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Distribution of different fibre types in human skeletal muscles. https://app.cochat.ai/papers/10.1016/0022-510x(86)90009-2
- The paper
- Lexell, J., Downham, D., & Sjöström, M. (1986). Distribution of different fibre types in human skeletal muscles. Journal of the Neurological Sciences. https://doi.org/10.1016/0022-510x(86)90009-2
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.