scholarly journals Current Trends in Research on Bone Regeneration: A Bibliometric Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Xin Huang ◽  
Xu Liu ◽  
Yuli Shang ◽  
Feng Qiao ◽  
Gang Chen

Background. Bone regeneration is a frequent research topic in clinical studies, but macroscopic studies on the clinical application of bone regeneration are rare. We conducted a bibliometric analysis, using international databases, to explore the clinical application and mechanism of bone regeneration, to highlight the relevant research hotspots and prospects. Material and Methods. Scientific reports on bone regeneration published during 2009–2019 were retrieved from PubMed. VOSviewer for cooccurrence keywords and authorship analysis. BICOMB software was used to retrieve high-frequency words and construct a text/coword matrix. The matrix was inputted into gCLUTO software, managed by biclustering analysis, in order to identify hotspots, which could achieve mountain and matrix visualizations. The matrix was also analyzed by using Ucinet 6 software for social network analysis. A strategic diagram was used for further analysis of the research hotspots of bone regeneration by “SCIMAT” software. We searched the Web of Science for relevant articles. Results. Eighty-nine high-frequency major MeSH terms were obtained from 10237 articles and were divided into 5 clusters. We generated a network visualization map, an overlay visualization mountain map, and a social network diagram. Then, the MeSH terms were subdivided into 7 categories according to each diagram; current research hotspots were identified as scaffold, drug effect, osseointegration in dental implant, guided bone regeneration, factors impacting bone regeneration, treatment of bone and tissue loss, and bone regeneration in dental implants. Conclusion. BICOMB, VOSviewer, and other bibliometric tools revealed that dental implants, scaffolds, and factors impacting bone regeneration are hot research topics, while scaffolds also hold promise from the perspective of bone tissue regeneration.

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xin Huang ◽  
Jin Bai ◽  
Xu Liu ◽  
Zhaosong Meng ◽  
Yuli Shang ◽  
...  

Background. We conducted a bibliometrics analysis to explore the recent trends in dental implant research which could help researchers have a clear grasp of the relevant research hotspots and prospects. Material and Methods. Altogether, 15,770 articles on dental implants, from January 1, 2010, to October 31, 2019, were selected from the Web of Science Core Collection. We used BICOMB software to extract the high-frequency MeSH terms and construct binary and coword matrices. gCLUTO software was used for biclustering and visual analysis, Ucinet 6 software for social network analysis, SCIMAT software for strategic diagram building, Citespace 5.5 software to form timeline visualization, and VOSviewer software, eventually, for bibliometrics cocitation network. Results. Altogether, 72 high-frequency keywords were extracted from the selected articles and 4 clusters and 7 subcategories were identified through biclustering analysis in the dental implant research field. The use of the strategic diagram also enabled us to find the research hotspot and development trends. Conclusions. The survival rate of dental implants and subsequent restoration have always been the core focus of research. Sinus floor elevation and guided bone regeneration are worthy of constant exploration owing to their reliability. With continuous improvement in technology, immediate loading could become a future research hot spot.


2021 ◽  
Vol 8 ◽  
Author(s):  
Keda Yang ◽  
Lei Pei ◽  
Kaicheng Wen ◽  
Siming Zhou ◽  
Lin Tao

Spinal stenosis is a common disease affecting the elderly that is present in a various forms. Its high incidence forces researchers to pay more attention and offer countermeasures. We used the Web of Science Core collection and PubMed database to obtain 5,606 scientific studies concerning spinal stenosis, and the number of publications maintained a roughly increasing trend from 108 in 2000 to 512 in 2018, only declining in 2011. Bibliometric analysis was conducted using the online analysis software CiteSpace and Bibliographic Item Co-Occurrence Matrix Builder (BICOMB). The United States maintains academic leadership in this field. The journal SPINE was the most authoritative, with 695 articles and an average of 12.73 citations. The exported major MeSH terms were further biclustered with gCLUTO according to co-word analysis to reveal research hotspots, including etiology, pathogenesis, clinical manifestation, conservative treatment, operative indication, internal implantation, and postoperative complications. After combination, the main topics focused on pathogenesis and surgical treatment. Narrowing causes flavum ligamentum hypertrophy, and posterior longitudinal ligament ossification is widely accepted. Additionally, minimally invasive surgery and internal implantation fixation are more valid in the clinic. Refining pathological classification and optimizing surgical methods and instrument properties will be important future research directions for spinal stenosis.


2020 ◽  
Author(s):  
Keda Yang ◽  
Lei Pei ◽  
Kaicheng Wen ◽  
Siming Zhou ◽  
Lin Tao

Abstract Background: Spinal stenosis is a common elderly disease, present in a variety of forms. High incidence forces researchers to pay more attention and give countermeasures. Our study aimed to conclude the knowledge hierarchy and research anticipation of spinal stenosis according to bibliometric analysis.Methods: Admitted published papers were obtained from Web of Science Core collection and PubMed database. Bibliometric analysis was conducted by using online analysis software CiteSpace and Bibliographic Item Co-Occurrence Matrix Builder (BICOMB). Exported major MeSH terms were further biclustered with gCLUTO according to co-word analysis. Then the research hotspots and publication trends were identified based on the high-frequency MeSH terms.Results: 5606 scientific literatures were retrieved about spinal stenosis and the number maintained a roughly increasing trend from 108 in 2000 to 512 in 2018, only declining in 2011. The United States is the country keeping an academic leadership in this field. And the journal SPINE was the most authoritative with total 695 articles and average 12.73 citations. There were 17 major and 18 expanded MeSH terms extracted after bibliometric analysis. Co-word and biclustering analysis revealed seven research hotspots involved in etiology, pathogenesis, clinical manifestation, conservative treatment, operative indication, internal implantation and postoperative complications. Conclusions: In this study, we revealed the research hotspots in spinal stenosis focusing on the pathogenesis and surgical treatment. Narrowing caused by the pathological change of flavum ligamentum hypertrophy and posterior longitudinal ligament ossification attracts more attention in recent years. Besides, minimally invasive surgery and internal implantation fixation are more valid in clinical. Refining pathological classification, optimizing surgical method and instrument property will be an expectable direction of spinal stenosis.


2018 ◽  
Author(s):  
Mengyao Cui ◽  
Feng Jin ◽  
Zining Jin ◽  
Xinmiao Yu ◽  
Lei Cui

BACKGROUND Women diagnosed with breast cancer need information and support to cope with their illness. The internet has become a powerful way to disseminate health information. The aim of this study is to investigate the research hotspots in the field of the application of the internet in breast cancer patients for information exchange and dissemination. OBJECTIVE Papers published between 1998 and 2016 with major Medical Subject Headings (MeSH) from related citations were downloaded from the PubMed database. METHODS Terms appearing in more than 10 papers were kept as high frequency MeSH terms. Terms that appeared in more than 10 papers were considered high frequency MeSH terms and were retained. A co-occurrence matrix was built with co-occurrence times between each pair of high frequency MeSH terms. These terms were then clustered into four groups. Papers that fell outside of our initial search timeline (published in 2017-2018) were classified into one of the 4 existing clusters of hotspots to predict the emerging trends of the field. RESULTS A total of 459 MeSH terms appeared 1594 times in 313 citations and 26 MeSH terms presented more than 10 times in 809 citations. We clustered these high frequency MeSH terms into 4 groups. Topics of those 18 new papers include online support group related, diagnosis, treatment and prevention, but showed a significant content expansion of each cluster. CONCLUSIONS A total of 459 MeSH terms appeared 1594 times in 313 citations and 26 MeSH terms presented more than 10 times in 809 citations. We clustered these high frequency MeSH terms into 4 groups. Topics of those 18 new papers include online support group related, diagnosis, treatment and prevention, but showed a significant content expansion of each cluster.


2021 ◽  

Background: The distribution knowledge structure and pattern of the literature on labor analgesia in PubMed were examined. Methods: Scientific papers on labor analgesia published from 1 January, 2000 to 31 June, 2020 were retrieved. The extracted MeSH items were quantitatively analyzed by the Bibliographic Item Co-Occurrence Matrix Builder (BICOMB), and the high frequency MeSH items were identified. In gCLUTO software, repeated bisection method was used to Mountain visualisation, and the visual matrix was established. By constructing high-frequency MeSH terms co-occurrence matrix, strategic diagram and social network are further completed. Results: The search strategy yielded 2870 papers, and the number of papers published annually had changed slightly during the study period. Among all extracted MeSH terms, 42 high-frequency MeSH terms were identified by consensus, and were divided into six categories by diclustering analysis. In the strategic diagram, the methods of labor analgesia, drug doses, and routes of administration were properly presented. In contrast, statistical and numerical data on obstetric analgesia were relatively underdeveloped, and management of pain during labor was undeveloped. In the social network analysis, the position status of each component was determined by the centrality values. Conclusions: The findings on labor analgesia are relatively divergent, and the six research categories outlined in this study reflect the publication trends in the field of labor analgesia to some extent. Our quantitative bibliometric research across a 20-year span depicts the overall direction of the latest topics and provides some hints for researchers when launching new projects.


2021 ◽  
Author(s):  
Zhiqiang Tian ◽  
Yanjun Wang ◽  
Jiao Lu ◽  
Chunfang Wang ◽  
Jianzhong Zheng

Abstract Background: Smartphones have captured the attention of many researchers in the field of health and medical services. This study aimed to quantify research ‘hotspots’ in this field, analyse the relationship between research hotspots and the resulting knowledge groups, and provide visual representations of the findings. Methods: Using bibliometric analysis software tools for keyword frequency analysis, we identified research hotspots using keywords from PubMed entries from a 14-year period. The analyses of hotspots were performed using keyword co-occurrence analysis, social network analysis, principal component analysis (PCA), multidimensional scaling analysis, and network visualization technology. Results: The results confirmed that the number of articles has been increasing each year. The topics of mobile applications, telemedicine, self-care, Diabetes Mellitus, treatment outcomes, health promotion, and patient satisfaction associated with smartphones were highlighted. The 35 high-frequency keywords that were extracted constituted five principal components of research related to information technology and telemedicine, diabetes, t-health promotion, and smartphones/handheld computers. Figures of knowledge network maps and perceptual maps show the relationship between the high-frequency keywords. Conclusions: The research of smartphones for health and medical services has experienced significant growth and expansion in knowledge in the last 14 years. Research hotspots for smartphone-related information technology, telemedicine, and health promotion have broad prospects for development. Moreover, this study provides directions for research hotspots and future research in the field of smartphone applications for health and medical services.


2019 ◽  
Author(s):  
Zhigang Cui ◽  
Zhihua Yin ◽  
Lei Cui

BACKGROUND Background:H19 gene is maternally expressed imprinted oncofetal gene. This study aimed to explore distribution pattern and intellectual structure of H19 in cancer. OBJECTIVE Published scientific 826 papers related to H19 from Jan 1st, 2000 to March 22st, 2019 were obtained from the Web of Science core collection. METHODS We performed extraction of keywords and co-word matrix construction using BICOMB software. Then gCLUTO software, ucinet, excel software, Citespace, Vosviewer were successfully used for double -cluster analysis, social network analysis, Strategic coordinate analysis, co-citation analysis, and journal analysis. RESULTS We analyzed the distributions of included article of H19, identified 34 high-frequency keywords and classified them into 6 categories. Through co-word analysis and co-citation analysis for these categories, we identified the hotspot areas and intellectual basis about H19 in cancer research. Then the prospects of hotspots and their associations were accesssed by strategic coordinate diagrams and social network diagrams. CONCLUSIONS 6 research categories of 34 high-frequency keywords could represent the theme trends on H19 to some extent. Mir-675, cancer metastasis and risk, Wnt/β-catenin signaling pathway, SNP, and ceRNA network were core and mature research areas in this field. There is a lack of promising areas of H19 research. Matouk(2006) article play a key role in H19 research, and Murphy SK(2006)and Luo M(2013) articles serve knowledge transmission as pivotal study.


Author(s):  
Ryan Light ◽  
James Moody

This chapter provides an introduction to this volume on social networks. It argues that social network analysis is greater than a method or data, but serves as a central paradigm for understanding social life. The chapter offers evidence of the influence of social network analysis with a bibliometric analysis of research on social networks. This analysis underscores how pervasive network analysis has become and highlights key theoretical and methodological concerns. It also introduces the sections of the volume broadly structured around theory, methods, broad conceptualizations like culture and temporality, and disciplinary contributions. The chapter concludes by discussing several promising new directions in the field of social network analysis.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chantal Morin ◽  
Isabelle Gaboury

Abstract Background Despite the increasing use of osteopathy, a manipulative complementary and alternative medicine therapy, in the general population, its efficacy continues to be debated. In this era of evidence-based practice, no studies have previously reviewed the scientific literature in the field to identify published knowledge, trends and gaps in empirical research. The aims of this bibliometric analysis are to describe characteristics of articles published on the efficacy of osteopathic interventions and to provide an overall portrait of their impacts in the scientific literature. Methods A bibliometric analysis approach was used. Articles were identified with searches using a combination of relevant MeSH terms and indexing keywords about osteopathy and research designs in MEDLINE and CINAHL databases. The following indicators were extracted: country of primary author, year of publication, journals, impact factor of the journal, number of citations, research design, participants’ age group, system/body part addressed, primary outcome, indexing keywords and types of techniques. Results A total of 389 articles met the inclusion criteria. The number of empirical studies doubled every 5 years, with the United States, Italy, Spain, and United Kingdom being the most productive countries. Twenty-three articles were cited over 100 times. Articles were published in 103 different indexed journals, but more than half (53.7%) of articles were published in one of three osteopathy-focused readership journals. Randomized control trials (n = 145; 37.3%) and case reports (n = 142; 36.5%) were the most common research designs. A total of 187 (48.1%) studies examined the effects of osteopathic interventions using a combination of techniques that belonged to two or all of the classic fields of osteopathic interventions (musculoskeletal, cranial, and visceral). Conclusion The number of osteopathy empirical studies increased significantly from 1980 to 2014. The productivity appears to be very much in sync with practice development and innovations; however, the articles were mainly published in osteopathic journals targeting a limited, disciplinary-focused readership.


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