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The Neuromusculoskeletal Modeling Pipeline: MATLAB-based Model Personalization and Treatment Optimization Functionality for OpenSim

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.30.620965Source: DataRank Database

The Neuromusculoskeletal Modeling Pipeline: MATLAB-based Model Personalization and Treatment Optimization Functionality for OpenSim is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.282. It has been cited 5 times, with 1 citing works in its 1-hop citation network.

N/A

0.282DataRank · unranked

Scored on demand from live citation data

Open Access5 citations · 1 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)OA: greenTopics (23)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 95%Citation Network 5%

Base Score Contribution

0.269

From this paper's citation signal

Citation Network Contribution

0.0137

From 1 citing papers with measurable signal

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Top 1 citer driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 1 citer.

Advancing knee adduction moment prediction for neuromuscular training via functional joint definitions and real–time simulation using OpenSim
PLoS ONE20252 citations68 referencesContributes 0.016

Authors (11)

Sophie Williams ORCID,Marleny M. Vega,Di Ao ORCID,Geng Li ORCID,Robert M. Salati

Live enrichment

PubMed:39605512 OpenAlex:https://openalex.org/W4404050871

National Science Foundation

Grant: 1404767

CDS&E: A Next-Generation Computation Framework for Predicting Optimal Walking Motion

National Science Foundation

Grant: 1159735

Computational Neuromechanics for Stroke Rehabilitation

National Science Foundation

Grant: 1052754

EAGER: Treatment Planning for Gait Pathologies Based on Whole-Body Angular and Linear Momentum

National Science Foundation

Grant: 1842494

Graduate Research Fellowship Program(GRFP)

National Institutes of Health

Grant: 5R01EB030520-02

OpenSim Enhancements to Enable Computational Design of Personalized Treatments for Movement Impairments

NIBIB NIH HHS

Grant: R01 EB030520

greenLicense: cc-by

repositoryhttps://doi.org/10.1101/2024.10.30.620965

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.10.30.620965

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39605512

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11601422

Fields of Study

Muscle activation and electromyography studiesProsthetics and Rehabilitation RoboticsStroke Rehabilitation and Recovery03 medical and health sciences0305 other medical science

Keywords

PersonalizationPipeline (software)Computer scienceArtificial neural networkMATLABSimulationMachine learningResearchHumansNeurosciences. Biological psychiatry. NeuropsychiatryComputer SimulationPrecision MedicineMuscle, SkeletalModels, BiologicalArticleSoftwareRC321-571Biomechanical Phenomena

Sustainable Development Goals

SDG 0: Good health and well-being