Bibliometric analysis of global research trends on male osteoporosis: a neglected field deserves more attention.

We analyzed the knowledge structure, current status, and future directions of 3243 publications on male osteoporosis by employing bibliometric analysis. Our results indicated that Osteoporosis International was the most influential journal in this field. And the study of epidemiology and risk factors has been recognized as a hot research topic in recent years. This study also calls for more attention to be given on male osteoporosis research. Male osteoporosis is increasing as a serious health problem worldwide with the aging of population. However, a comprehensive understanding of the current status and future trends in this field is lacking to date. The goal of the present study was to summarize and visualize the knowledge framework, research hotspots, and emerging trends of male osteoporosis research based on the bibliometric method. Scientific publications regarding male osteoporosis from 1998 to 2020 were downloaded from the SCIE database. VOSviewer, CiteSpace, and online bibliometric website were used for this study. The main analyses include cooperative relationships between countries/institutions/authors, co-citation analysis of authors/journals, and co-occurrence analysis of keywords/subject categories, as well as analyses on keyword/reference bursts. A total of 3243 publications with 128,751 citations were identified. Despite experiencing a period of increase in the number of publications, incentives for conducting male osteoporosis research seem to have decreased during recent years. The USA has the most prominent contributions, as reflected by most publications and the highest H-index value. Oregon Health and Science University was the most prolific institution within this domain. The most influential academic journal was Osteoporosis International. Keywords were categorized into four clusters: basic research, epidemiology and risk factors, diagnostic studies, treatment and fracture prevention. Burst keyword detection suggested that the following research directions including "obesity," "zoledronic acid," "DXA," "inflammation," "fall," "microarchitecture," and "sarcopenia" remain research hotspots in the near future and deserve our further attention. This is the first bibliometric analysis that provides a comprehensive overview of male osteoporosis research, which may provide helpful references for investigators to further explore hot issues in this field.

Wu H ，Sun Z ，Tong L ，Wang Y ，Yan H ，Sun Z ... -  《-》

Worldwide research tendency and hotspots on hip fracture: a 20-year bibliometric analysis.

Wu H ，Li Y ，Tong L ，Wang Y ，Sun Z ... -  《-》

Research Trends in the Application of Artificial Intelligence in Oncology: A Bibliometric and Network Visualization Study.

The past decade has seen major advances in the use of artificial intelligence (AI) to solve various biomedical problems, including cancer. This has resulted in more than 6000 scientific papers focusing on AI in oncology alone. The expansiveness of this research area presents a challenge to those seeking to understand how it has developed. A scientific analysis of AI in the oncology literature is therefore crucial for understanding its overall structure and development. This may be addressed through bibliometric analysis, which employs computational and visual tools to identify research activity, relationships, and expertise within large collections of bibliographic data. There is already a large volume of research data regarding the development of AI applications in cancer research. However, there is no published bibliometric analysis of this topic that offers comprehensive insights into publication growth, co-citation networks, research collaboration, and keyword co-occurrence analysis for technological trends involving AI across the entire spectrum of oncology research. The purpose of this study is to investigate documents published during the last decade using bibliometric indicators and network visualization. This will provide a detailed assessment of global research activities, key themes, and AI trends over the entire breadth of the oncology field. It will also specifically highlight top-performing authors, organizations, and nations that have made major contributions to this research domain, as well as their interactions via network collaboration maps and betweenness centrality metric. This study represents the first global investigation of AI covering the entire cancer field and using several validated bibliometric techniques. It should provide valuable reference material for reorienting this field and for identifying research trajectories, topics, major publications, and influential entities including scholars, institutions, and countries. It will also identify international collaborations at three levels: micro (that of an individual researcher), meso (that of an institution), and macro (that of a country), in order to inform future lines of research. The Science Citation Index Expanded from the Web of Science Core Collection was searched for articles and reviews pertaining exclusively to AI in cancer from 2012 through 2022. Annual publication trends were plotted using Microsoft Excel 2019. CiteSpace and VOSViewer were used to investigate the most productive countries, researchers, journals, as well as the sharing of resources, intellectual property, and knowledge base in this field, along with the co-citation analysis of references and keywords. A total of 6757 documents were retrieved. China produced the most publications of any country (2087, 30.89%), and Sun Yat Sen University the highest number (167, 2.47%) of any institute. WEI WANG was the most prolific author (33, 0.49%). RUI ZHANG ranked first for highest betweenness centrality (0.21) and collaboration criteria. Scientific Reports was found to be the most prolific journal (208, 3.18%), while PloS one had the most co-citations (2121, 1.55%). Strong and ongoing citation bursts were found for keywords such as "tissue microarray", "tissue segmentation", and "artificial neural network". Deep learning currently represents one of the most cutting-edge and applicable branches of AI in oncology. The literature to date has dealt extensively with radiomics, genomics, pathology, risk stratification, lesion detection, and therapy response. Current hot topics identified by our analysis highlight the potential application of AI in radiomics and precision oncology.

Wu T ，Duan Y ，Zhang T ，Tian W ，Liu H ，Deng Y ... -  《-》

Mapping Knowledge Landscapes and Emerging Trends of the Links Between Bone Metabolism and Diabetes Mellitus: A Bibliometric Analysis From 2000 to 2021.

Diabetes mellitus (DM) have become seriously threatens to human health and life quality worldwide. As a systemic metabolic disease, multiple studies have revealed that DM is related to metabolic bone diseases and always induces higher risk of fracture. In view of this, the links between bone metabolism (BM) and DM (BMDM) have gained much attention and numerous related papers have been published. Nevertheless, no prior studies have yet been performed to analyze the field of BMDM research through bibliometric approach. To fill this knowledge gap, we performed a comprehensive bibliometric analysis of the global scientific publications in this field. Articles and reviews regarding BMDM published between 2000 and 2021 were obtained from the Web of Science after manually screening. VOSviewer 1.6.16, CiteSpace V 5.8.R3, Bibliometrix, and two online analysis platforms were used to conduct the bibliometric and visualization analyses. A total of 2,525 documents including 2,255 articles and 270 reviews were retrieved. Our analysis demonstrated a steady increasing trend in the number of publications over the past 22 years (R2 = 0.989). The United States has occupied the leading position with the largest outputs and highest H-index. University of California San Francisco contributed the most publications, and Schwartz AV was the most influential author. Collaboration among institutions from different countries was relatively few. The journals that published the most BMDM-related papers were Bone and Osteoporosis International. Osteoporosis and related fractures are the main bone metabolic diseases of greatest concern in this field. According to co-cited references result, "high glucose environment," "glycation end-product" and "sodium-glucose co-transporter" have been recognized as the current research focus in this domain. The keywords co-occurrence analysis indicated that "diabetic osteoporosis," "osteoarthritis," "fracture risk," "meta-analysis," "osteogenic differentiation," "bone regeneration," "osteogenesis," and "trabecular bone score" might remain the research hotspots and frontiers in the near future. As a cross-discipline research field, the links between bone metabolism and diabetes mellitus are attracting increased attention. Osteoporosis and related fractures are the main bone metabolic diseases of greatest concern in this field. These insights may be helpful for clinicians to recognize diabetic osteopenia and provide more attention and support to such patients.

Cheng K ，Guo Q ，Yang W ，Wang Y ，Sun Z ，Wu H ... -  《Frontiers in Public Health》

Mapping Knowledge Structure and Themes Trends of Osteoporosis in Rheumatoid Arthritis: A Bibliometric Analysis.

Background: Rheumatoid arthritis is a chronic disabling disease characterized by chronic inflammation, articular cartilage destruction, and reduced bone mass. Multiple studies have revealed that the development of osteoporosis in rheumatoid arthritis (RA; ORA) patients could be led to a reduced quality of life and increased healthcare costs. Nevertheless, no attempt has been made to analyze the field of ORA research with the bibliometric method. This study aimed to provide a comprehensive overview of the knowledge structure and theme trends in the field of ORA research from a bibliometric perspective. Methods: Articles and reviews regarding ORA from 1998 to 2021 were identified from the Web of Science database. An online bibliometric platform, CiteSpace, and VOSviewer software were used to generate visualization knowledge maps including co-authorship, co-citation, and co-occurrence analysis. SPSS, R, and Microsoft Excel software were used to conduct curve fitting and correlation analysis, and to analyze quantitative indicators, such as publication and citation counts, h-index, and journal citation reports. Results: A total of 1,081 papers with 28,473 citations were identified. Publications were mainly concentrated in North America, Western Europe, and Eastern Asia. Economic strength is an important factor affecting scientific output. The United States contributed the most publications (213) with the highest h-index value (46) as of September 14, 2021. Diakonhjemmet Hospital and professor Haugeberg G were the most prolific institution and influential authors, respectively. Journal of Rheumatology was the most productive journal concerning ORA research. According to the burst references, "anti-citrullinated protein antibodies" and "preventing joint destruction" have been recognized as the hot research issues in the domain. The keywords co-occurrence analysis identified "teriparatide," "interleukin-6," "Wnt," and "vertebral fractures" as the important future research directions. Conclusion: This was the first bibliometric study comprehensively summarizing the trends and development of ORA research. Our findings could offer practical sources for scholars to understand the key information in this field, and identify the potential research frontiers and hot directions in the near future.

Wu H ，Cheng K ，Guo Q ，Yang W ，Tong L ，Wang Y ，Sun Z ... -  《Frontiers in Medicine》