Multi-omics knowledge spectrum of osteoporosis: A bibliometric and visual analysis

Résumé fourni par la source

BACKGROUND: Osteoporosis is a systemic condition that often goes unnoticed, marked by a reduction in bone density and mass, deterioration of bone microstructure, and heightened susceptibility to fractures. In recent years, numerous scientists have conducted large-scale omic studies on osteoporosis; however, there is no systematic bibliometric and visualization analysis in this area. METHODS: In the present investigation, literature concerning omic research on osteoporosis from the early 21st century was retrieved from the primary database of the Web of Science. Subsequently, the collected data underwent statistical and visual analysis utilizing tools such as CiteSpace, VosViewer, and R. RESULTS: In this investigation, a total of 1148 scholarly articles were gathered, revealing a consistent annual increase in publication numbers. The preceding 5 years have marked a significant phase of advancement in the field of osteoporosis omics research. Historically, the United States has maintained a dominant position in this domain until 2014; however, several Asian nations have experienced swift progress and noteworthy breakthroughs over the past 10 years. The application of omic techniques within the field of osteoporosis has evolved at a phenomenal rate, going through 3 major phases. The first phase of research focused on omic studies on a large number of mixed cells; the second phase delved into gene expression studies to the single-cell level, which in turn led to in-depth characterization of cell types and revealed cellular heterogeneity; and the third phase progressively carried out in-depth studies on the acquisition of gene expression profiles and spatial distribution data from tissues in situ. CONCLUSIONS: This study represents the inaugural bibliometric and visualization examination of published research findings pertaining to osteoporosis, achieved through a systematic data search and the integration of various bibliometric analysis instruments. Utilizing these data, we synthesize prior scholarly investigations and offer a perspective on forthcoming research directions within this domain.

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