The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Mechanical characterization of human brain tissue
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
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
Ogden, R. W. (1972) · Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences · doi:10.1098/rspa.1972.0026 · Cited by 2,979
Nonlinear Solid Mechanics: A Continuum Approach for Engineering
Holzapfel, G. A. (2000) · Cited by 2,700
Self-citationBayesian analysis of neuroimaging data in FSL
Woolrich, M. W., Jbabdi, S., Patenaude, B., Chappell, M., Makni, S., Behrens, T., Beckmann, C., Jenkinson, M., & Smith, S. M. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.055 · Cited by 2,385
A New Constitutive Relation for Rubber
Gent, A. N. (1996) · Rubber Chemistry and Technology · doi:10.5254/1.3538357 · Cited by 1,850
In vivo measurement of T2 distributions and water contents in normal human brain
Whittall, K. P., Mackay, A. L., Graeb, D. A., Nugent, R. A., Li, D. K. B., & Paty, D. W. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910370107 · Cited by 793
Indentation Versus Tensile Measurements of Young's Modulus for Soft Biological Tissues
McKee, C. T., Last, J. A., Russell, P., & Murphy, C. J. (2011) · Tissue Engineering Part B: Reviews · doi:10.1089/ten.teb.2010.0520 · Cited by 708
Mechanical properties of gray and white matter brain tissue by indentation
Budday, S., Nay, R., de Rooij, R., Steinmann, P., Wyrobek, T., Ovaert, T. C., & Kuhl, E. (2015) · Journal of the Mechanical Behavior of Biomedical Materials · doi:10.1016/j.jmbbm.2015.02.024 · Cited by 692
Self-citationRegional, Directional, and Age-Dependent Properties of the Brain Undergoing Large Deformation
Prange, M. T., & Margulies, S. S. (2002) · Journal of Biomechanical Engineering · doi:10.1115/1.1449907 · Cited by 635
Mechanical properties of brain tissue in tension
Miller, K., & Chinzei, K. (2002) · Journal of Biomechanics · doi:10.1016/s0021-9290(01)00234-2 · Cited by 635
Cited by
Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue
Budday, S., Ovaert, T. C., Holzapfel, G. A., Steinmann, P., & Kuhl, E. (2020) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-019-09352-w · Cited by 469
Self-citationThe soft mechanical signature of glial scars in the central nervous system
Moeendarbary, E., Weber, I. P., Sheridan, G. K., Koser, D. E., Soleman, S., Haenzi, B., Bradbury, E. J., Fawcett, J., & Franze, K. (2017) · Nature Communications · doi:10.1038/ncomms14787 · Cited by 406
A new family of Constitutive Artificial Neural Networks towards automated model discovery
Linka, K., & Kuhl, E. (2023) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2022.115731 · Cited by 281
Self-citationViscoelastic parameter identification of human brain tissue
Budday, S., Sommer, G., Holzapfel, G. A., Steinmann, P., & Kuhl, E. (2017) · Journal of the Mechanical Behavior of Biomedical Materials · doi:10.1016/j.jmbbm.2017.07.014 · Cited by 178
Self-citationGrifno, G. N., Farrell, A. M., Linville, R. M., Arevalo, D., Kim, J. H., Gu, L., & Searson, P. C. (2019) · Scientific Reports · doi:10.1038/s41598-019-50193-1 · Cited by 112
Metadata
- Authors
- Budday, S., Sommer, G., Birkl, C., Langkammer, C., Haybaeck, J., Kohnert, J., Bauer, M., Paulsen, F., Steinmann, P., Kuhl, E., & Holzapfel, G. A.
- Venue
- Acta Biomaterialia
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 48
- Pages
- 319-340
- ISSN
- 1742-7061 (ISSN-L)
- OpenAlex
- W2545856467
- Cited by
- 656
- References
- 69
- FWCI
- 17.78
- 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: Mechanical characterization of human brain tissue. https://app.cochat.ai/papers/10.1016/j.actbio.2016.10.036
- The paper
- Budday, S., Sommer, G., Birkl, C., Langkammer, C., Haybaeck, J., Kohnert, J., Bauer, M., Paulsen, F., Steinmann, P., Kuhl, E., & Holzapfel, G. A. (2017). Mechanical characterization of human brain tissue. Acta Biomaterialia. https://doi.org/10.1016/j.actbio.2016.10.036
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.
