📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Cluster analysis of bone microarchitecture from high resolution peripheral quantitative computed tomography demonstrates two separate phenotypes associated with high fracture risk in men and women. (2016)

First Author: Edwards MH

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.bone.2016.04.025

PubMed Identifier: 27130873

Publication URI: http://europepmc.org/abstract/MED/27130873

Type: Journal Article/Review

Volume: 88

Parent Publication: Bone

ISSN: 1873-2763