Journal of Biomechanics (J BIOMECH)

Publisher: University of Michigan. Highway Safety Research Institute; American Society of Biomechanics; European Society of Biomechanics; International Society of Biomechanics; Japanese Society for Clinical Biomechanics and Related Research; All authors, Elsevier

Journal description

The Journal of Biomechanics publishes reports of original and substantial findings using the principles of mechanics to explore biological problems. Analytical, as well as experimental papers may be submitted. Substantially new techniques not testing some explicit hypothesis or reporting original observations may be considered for Technical Notes. The criteria for acceptance of manuscripts include excellence, novelty, significance, clarity, conciseness and interest to the readership. Papers published in the journal may cover a wide range of topics in biomechanics, including, but not limited to: Fundamental Topics - Dynamics of the musculoskeletal system, mechanics of hard and soft tissues, mechanics of muscles, mechanics of bone remodelling, mechanics of implant-tissue interfaces, mechanisms of cells. Cardiovascular and Respiratory Biomechanics - Mechanics of blood flow, air flow, mechanics of the soft tissues, flow-tissue or flow-prosthesis interactions. Dental Biomechanics - Design and analysis of dental prostheses, mechanics of chewing. Injury Biomechanics - Mechanics of impact, dynamics of man-machine interaction. Orthopedic Biomechanics - Mechanics of fracture and fracture fixation, mechanics of implants and implant fixation, mechanics of bones and joints. Rehabilitation Biomechanics - Analyses of gait, mechanics of prosthetics and orthotics. Sports Biomechanics - Mechanical analyses of sports performance. Cell Biomechanics - Relationship of mechanical environment to cells and tissue responses.The journal is affiliated to the American Society of Biomechanics, the International Society of Biomechanics. and the European Society of Biomechanics. The journal is featured in 'Biomechanics World Wide'.

Current impact factor: 2.75

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 2.751
2013 Impact Factor 2.496
2012 Impact Factor 2.716
2011 Impact Factor 2.434
2010 Impact Factor 2.463
2009 Impact Factor 2.657
2008 Impact Factor 2.784
2007 Impact Factor 2.897
2006 Impact Factor 2.542
2005 Impact Factor 2.364
2004 Impact Factor 1.911
2003 Impact Factor 2.005
2002 Impact Factor 1.889
2001 Impact Factor 1.856
2000 Impact Factor 1.474
1999 Impact Factor 1.536
1998 Impact Factor 1.484
1997 Impact Factor 1.461
1996 Impact Factor 1.512
1995 Impact Factor 1.302
1994 Impact Factor 1.548
1993 Impact Factor 1.058
1992 Impact Factor 1.02

Impact factor over time

Impact factor

Additional details

5-year impact 3.16
Cited half-life 9.30
Immediacy index 0.46
Eigenfactor 0.03
Article influence 0.92
Website Journal of Biomechanics website
Other titles Journal of biomechanics
ISSN 0021-9290
OCLC 1754470
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details


  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Authors pre-print on any website, including arXiv and RePEC
    • Author's post-print on author's personal website immediately
    • Author's post-print on open access repository after an embargo period of between 12 months and 48 months
    • Permitted deposit due to Funding Body, Institutional and Governmental policy or mandate, may be required to comply with embargo periods of 12 months to 48 months
    • Author's post-print may be used to update arXiv and RepEC
    • Publisher's version/PDF cannot be used
    • Must link to publisher version with DOI
    • Author's post-print must be released with a Creative Commons Attribution Non-Commercial No Derivatives License
    • Publisher last reviewed on 03/06/2015
  • Classification
    ​ green

Publications in this journal

  • Journal of Biomechanics 09/2015; In Press.
  • [Show abstract] [Hide abstract]
    ABSTRACT: Mesenchymal stem cells (MSCs) are the common precursors of several functionally disparate cell lineages. A plethora of chemical and physical stimuli contribute to lineage decisions and guidance, including mechanical stretch concomitant with physical movement. Here, we examined how stretch regulates MSC differentiation into adipocytes and the intracellular signaling pathways involved. MSCs were cultured under adipogenic conditions and divided into a control and an experimental group. Cultures in the experimental group were subjected to a sinusoidal stretch regimen delivered via flexible culture bottoms (5% magnitude, 10 times per min, 6h/day, 3 or 5 days). Expression levels of the adipocyte markers PPARγ-2, adiponectin, and C/EBPα were measured as indices of differentiation. Compared to controls, MSCs exposed to mechanical stretch exhibited downregulated PPARγ-2, adiponectin, and C/EBPα mRNA expression. Alternatively, stretch upregulated phosphorylation of Smad2. This stretch-induced increase in Smad2 phosphorylation was suppressed by pretreatment with the TGFβ1/Smad2 pathway antagonist SB-431542. Pretreatment with the TGFβ1/Smad2 signaling agonist TGFβ1 facilitated the inhibitory effect of stretch on the expression levels of PPARγ-2, adiponectin, and C/EBPα proteins, while pretreatment with SB-431542 reversed the inhibitory effects of subsequent stretch on the expression levels of these markers. These results strongly suggest that the anti-adipogenic effects of mechanical stretch on MSCs are mediated, at least in part, by activation of the TGFβ1/Smad2 signaling pathway. Copyright © 2015. Published by Elsevier Ltd.
    Journal of Biomechanics 08/2015; DOI:10.1016/j.jbiomech.2015.08.013
  • [Show abstract] [Hide abstract]
    ABSTRACT: Biologic tissues respond to the biomechanical conditions to which they are exposed by modifying their architecture. Experimental evidence from the literature suggests that the aim of this process is the mechanical optimization of the tissues (functional adaptation). In particular, this process must produce articular surfaces that, in physiological working conditions, optimize the contact load distribution or, equivalently, maximize the joint congruence. It is thus possible to identify the space of adapted joint configurations (or adapted space of motion) starting solely from knowledge of the shape of the articular surfaces, by determining the envelope of the maximum congruence configurations. The aim of this work was to validate this hypothesis by testing its application on 10 human ankle joints. Digitalizations of articular surfaces were acquired in 10 in-vitro experimental sessions, together with the natural passive tibio-talar motion, which may be considered as representative of the adapted space of motion. This latter was predicted numerically by optimizing the joint congruence. The highest mean absolute errors between each component of predicted and experimental motion were 2.07° and 2.29mm respectively for the three rotations and translations. The present kinematic model replicated the experimentally observed motion well, providing a reliable subject-specific representation of the joint motion starting solely from articulating surface shapes. Copyright © 2015 Elsevier Ltd. All rights reserved.
    Journal of Biomechanics 07/2015; DOI:10.1016/j.jbiomech.2015.07.042
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    ABSTRACT: Total disc replacement has been introduced to overcome negative side effects of spinal fusion. The amount of iatrogenic distraction, preoperative disc height and implant positioning have been considered important for surgical success. However, their effect on the postoperative range of motion (RoM) and loading of the facets merits further discussion. A validated osteoligamentous finite element model of the lumbosacral spine was employed and extended with four additional models to account for different disc heights. An artificial disc with a fixed center of rotation (CoR) was implemented in L5-S1. In 4,000 simulations, the influence of distraction and the CoR’s location on the RoM, facet joint forces (FJFs) and facet capsule ligament forces (FCLFs) was investigated. Distraction substantially altered segmental kinematics in the sagittal plane by decreasing range of flexion (0.5° per 1mm of distraction), increasing range of extension (0.7°/mm) and slightly affecting complete sagittal RoM (0.2°/mm). The distraction already strongly increased the FCLFs during surgery (up to 230N) and in flexion (~12N/mm), with higher values in models with larger preoperative disc heights, and increased FJFs in extension. A more anterior implant location decreased the RoM in all planes. In most loading cases, a more posterior location of the implant’s CoR increased the FJFs and FCLFs, whereas a more caudal location increased the FCLFs but decreased the FJFs. The results of this study may explain the worse clinical results in patients with overdistraction after TDR. The complete RoM in the sagittal plane appears to be insensitive to detecting surgery-related biomechanical changes.
    Journal of Biomechanics 07/2015; DOI:10.1016/j.jbiomech.2015.06.023
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    ABSTRACT: Despite medical best-practice recommendations, no consistent standard exists to systematically monitor recovery from concussion. Studies utilizing camera-based systems have reported center-of-mass (COM) motion control deficits persisting in individuals with concussion up to two months post-injury. The use of an accelerometer may provide an efficient and sensitive method to monitor COM alterations following concussion that can be employed in clinical settings. This study examined: 1) frontal/sagittal plane acceleration characteristics during dual-task walking for individuals with concussion and healthy controls; and 2) the effectiveness of utilizing acceleration characteristics to classify concussed and healthy individuals via receiver operating characteristic (ROC) curve analyses. Individuals with concussion completed testing within 72 hours as well as 1 week, 2 weeks, 1 month, and 2 months post-injury. Control subjects completed the same protocol in similar time increments. Participants walked and simultaneously completed a cognitive task while wearing an accelerometer attached to L5. Participants with concussion walked with significantly less peak medial-lateral acceleration during 55%–75% gait cycle (p=.04) throughout the testing period compared with controls. Moderate levels of sensitivity and specificity were found at the 72 hour and 1 week testing times (sensitivity=0.70, specificity=0.71). ROC analysis revealed significant AUC values at the 72 hour (AUC=.889) and two week (AUC=.810) time points. Accelerometer-derived measurements may assist in detecting frontal plane control deficits during dual-task walking post-concussion, consistent with camera-based studies. These initial findings demonstrate potential for using accelerometry as a tool for clinicians to monitor gait balance control following concussion.
    Journal of Biomechanics 06/2015; DOI:10.1016/j.jbiomech.2015.06.014
  • [Show abstract] [Hide abstract]
    ABSTRACT: Micromotion around implants is commonly measured using displacement-sensor techniques. Due to the limitations of these techniques, an alternative approach (DVC-μCT) using digital volume correlation (DVC) and micro-CT (μCT) was developed in this study. The validation consisted of evaluating DVC-μCT based micromotion against known micromotions (40, 100 and 150μm) in a simplified experiment. Subsequently, a more clinically realistic experiment in which a glenoid component was implanted into a porcine scapula was carried out and the DVC-μCT measurements during a single load cycle (duration 20min due to scanning time) was correlated with the manual tracking of micromotion at 12 discrete points across the implant interface. In this same experiment the full-field DVC-μCT micromotion was compared to the full-field micromotion predicted by a parallel finite element analysis (FEA). It was found that DVC-μCT micromotion matched the known micromotion of the simplified experiment (average/peak error=1.4/1.7μm, regression line slope=0.999) and correlated with the micromotion at the 12 points tracked manually during the realistic experiment (R(2)=0.96). The DVC-μCT full-field micromotion matched the pattern of the full-field FEA predicted micromotion. This study showed that the DVC-μCT technique provides sensible estimates of micromotion. The main advantages of this technique are that it does not damage important parts of the specimen to gain access to the bone-implant interface, and it provides a full-field evaluation of micromotion as opposed to the micromotion at just a few discrete points. In conclusion the DVC-μCT technique provides a useful tool for investigations of micromotion around plastic implants. Copyright © 2015. Published by Elsevier Ltd.
    Journal of Biomechanics 06/2015; DOI:10.1016/j.jbiomech.2015.05.024