SciNetX is a bibliometric and network analysis platform offered through a licensed access model.
It supports literature-centered bibliometric and scientometric workflows, and it can also be applied to custom datasets with or without associated literature papers, including broader general network analysis use cases.
This GitHub repository is the stable public software and publication record for SciNetX. Use it for version history, citation metadata, release materials, and long-term public references. This repository is the stable public record. Operational source and artifacts are distributed separately under license through approved access pathways. The active website for current information, inquiries, access, consulting, and licensed application access is scinetx.com.
SciNetX public materials in this repository are maintained by Michael A. David, PhD.
- Public record documentation and citation metadata are included in this repository.
- SciNetX application source is distributed separately through gated licensed access pathways.
- Commercial rights are available only through a separate agreement.
- GitHub materials describe the license model; governing legal terms are provided with licensed distributions and/or executed commercial agreements.
Use the software record and associated publication:
David, M. A., Williams, K. G., Constantine, E. P., Matthias, J., Ferguson, V. L., & Adams, D. J. (2026). Demystifying Machine Learning Approaches in Digital Bone Imaging using MicroCT and HRpQCT. Bone Reports. DOI: https://doi.org/10.1016/j.bonr.2026.101911. RRID: SCR_028186.
- DOI:
10.1016/j.bonr.2026.101911 - RRID:
RRID:SCR_028186 - Stable public software/publication record: madavid-research/SciNetX
- Git tag and GitHub Release:
v1.0.0 - Version:
1.0.0 - Release date: March 23, 2026
- Changelog: CHANGELOG.md
- Release notes: RELEASE_NOTES_v1.0.0.md
- Stable citation record: CITATION.cff
- Version file: VERSION
- Overview and docs: docs/index.md
- Citation and publication: docs/cite.md, docs/publication.md, SOFTWARE_AVAILABILITY.md
- Private access and collaboration inquiries: scinetx.com, WORK_WITH_SCINETX.md
- Paper materials: 2026-BoneRep-MLforBoneImaging
- Support and security: SUPPORT.md, SECURITY.md
- Licensed access model.
- Copyright © 2026 Regents of the University of Colorado. Author: Michael A. David, PhD.
- Two license types: Nonprofit License and Commercial License.
- Source is available under either license path once the applicable license is obtained.
- This README is a public summary of license type and access model. See docs/licensing.md, LICENSE, LICENSE_COMMERCIAL.md, and scinetx.com.
See scinetx.com for the current public access path, onboarding details, and licensed application access.