scholarly journals A Bibliometric and Citation Network Analysis of Myopia Genetics

Genes ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 447
Author(s):  
Cristina Alvarez-Peregrina ◽  
Clara Martinez-Perez ◽  
Cesar Villa-Collar ◽  
Miguel Ángel Sánchez-Tena
Keyword(s):  
Web Of Science ◽  
Citation Network ◽  
Susceptibility Loci ◽  
Research Areas ◽  
Genome Wide ◽  
Great Progress ◽  
Citation Network Analysis ◽  
Number Of Publications ◽  
Meta Analyses ◽  
Axial Growth

Background: To aim of the study was describe the growth of publications on genetic myopia and understand the current research landscape through the analysis of citation networks, as well as determining the different research areas and the most cited publications. Methods: The Web of Science database was used to perform the publication search, looking for the terms “genetic*” AND “myopia” within the period between 2009 and October 2020. The CitNetExplorer and CiteSpace software were then used to conduct the publication analysis. To obtain the graphics, the VOSviewer software was used. Results: A total of 721 publications were found with 2999 citations generated within the network. The year 2019 was singled out as a “key year”, taking into account the number of publications that emerged in that year and given that in 2019, 200 loci associated with refractive errors and myopia were found, which is considered to be great progress. The most widely cited publication was “Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia”, an article by Verhoeven et al., which was published in 2013. By using the clustering function, we were able to establish three groups that encompassed the different research areas within this field: heritability rate of myopia and its possible association with environmental factors, retinal syndromes associated with myopia and the genetic factors that control and influence axial growth of the eye. Conclusions: The citation network offers a comprehensive and objective analysis of the main papers that address genetic myopia.

scholarly journals Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19)

2020 ◽  
Vol 17 (20) ◽  
pp. 7690 ◽  
Author(s):  
Clara Martinez-Perez ◽  
Cristina Alvarez-Peregrina ◽  
Cesar Villa-Collar ◽  
Miguel Ángel Sánchez-Tena
Keyword(s):  
Web Of Science ◽  
Citation Network ◽  
The United States ◽  
Disease Spread ◽  
The Novel ◽  
Research Areas ◽  
Citation Network Analysis ◽  
Number Of Publications ◽  
Novel Coronavirus ◽  
The Relationship

Background: The first outbreaks of the new coronavirus disease, named COVID-19, occurred at the end of December 2019. This disease spread quickly around the world, with the United States, Brazil and Mexico being the countries the most severely affected. This study aims to analyze the relationship between different publications and their authors through citation networks, as well as to identify the research areas and determine which publication has been the most cited. Methods: The search for publications was carried out through the Web of Science database using terms such as “COVID-19” and “SARS-CoV-2” for the period between January and July 2020. The Citation Network Explorer software was used for publication analysis. Results: A total of 14,335 publications were found with 42,374 citations generated in the network, with June being the month with the largest number of publications. The most cited publication was “Clinical Characteristics of Coronavirus Disease 2019 in China” by Guan et al., published in April 2020. Nine groups comprising different research areas in this field, including clinical course, psychology, treatment and epidemiology, were found using the clustering functionality. Conclusions: The citation network offers an objective and comprehensive analysis of the main papers on COVID-19 and SARS-CoV-2.

scholarly journals Current State and Future Trends: A Citation Network Analysis of the Academic Performance Field

2020 ◽  
Vol 17 (15) ◽  
pp. 5352
Author(s):  
Clara Martinez-Perez ◽  
Cristina Alvarez-Peregrina ◽  
Cesar Villa-Collar ◽  
Miguel Ángel Sánchez-Tena
Keyword(s):  
Academic Performance ◽  
Web Of Science ◽  
Citation Index ◽  
Citation Network ◽  
Time Interval ◽  
Research Areas ◽  
Current State ◽  
Citation Network Analysis ◽  
Number Of Publications ◽  
Educational Field

Background: In recent years, due to its complexity and relevance, academic performance has become a controversial research topic within the health and educational field. The main purposes of this study were to analyze the links between publications and authors via citation networks, to identify the different research areas and to determine the most cited publications. Methods: The publication search was performed through the Web of Science database, using the term “Academic Performance” for a time interval from 1952 to 2019. The software used to analyze the publications was the Citation Network Explorer. Results: We found a total of 16,157 publications with 35,213 citations generated in the network, and 2018 had the highest number of publications of any year. The most cited publication was published in 2012 by Richardson et al. with a citation index score of 352. By using the clustering function, we found nine groups related to different areas of research in this field: health, psychology, psychosociology, demography, physical activity, sleep patterns, vision, economy, and delinquency. Conclusions: The citation network showed the main publications dealing with the different factors that affect academic performance, and it was determined that psychological and psychosocial factors were the most relevant.

scholarly journals Citations Network Analysis of Vision and Sport

2020 ◽  
Vol 17 (20) ◽  
pp. 7574
Author(s):  
Henrique Nascimento ◽  
Clara Martinez-Perez ◽  
Cristina Alvarez-Peregrina ◽  
Miguel Ángel Sánchez-Tena
Keyword(s):  
Web Of Science ◽  
Citation Network ◽  
Comprehensive Analysis ◽  
Training Methods ◽  
Citation Networks ◽  
Publication Analysis ◽  
Research Areas ◽  
Visual Skills ◽  
Number Of Publications ◽  
Sports Vision

Background: Sports vision is a relatively new specialty, which has attracted particular interest in recent years from trainers and athletes, who are looking at ways of improving their visual skills to attain better performance on the field of play. The objective of this study was to use citation networks to analyze the relationships between the different publications and authors, as well as to identify the different areas of research and determine the most cited publication. Methods: The search for publications was carried out in the Web of Science database, using the terms “sport”, “vision”, and “eye” for the period between 1911 and August 2020. The publication analysis was performed using the Citation Network Explorer and CiteSpace software. Results: In total, 635 publications and 801 citations were found across the network, with 2019 being the year with the highest number of publications. The most cited publication was published in 2002 by Williams et al. By using the clustering functionality, four groups covering the different research areas in this field were found: ocular lesion, visual training methods and efficiency, visual fixation training, and concussions. Conclusions: The citation network offers an objective and comprehensive analysis of the main papers on sports vision.

scholarly journals Impact of COVID-19 at the Ocular Level: A Citation Network Study

2021 ◽  
Vol 10 (7) ◽  
pp. 1340
Author(s):  
Miguel Ángel Sánchez-Tena ◽  
Clara Martinez-Perez ◽  
Cesar Villa-Collar ◽  
Cristina Alvarez-Peregrina
Keyword(s):  
Web Of Science ◽  
Citation Network ◽  
Protective Equipment ◽  
Citation Networks ◽  
Research Areas ◽  
Ocular Manifestations ◽  
Number Of Publications ◽  
The Impact ◽  
The Relationship ◽  
The Web

Background: The main objective of this study was to use citation networks to analyze the relationship between different publications on the impact of COVID-19 at an ocular level and their authors. Furthermore, the different research areas will be identified, and the most cited publication will be determined. Materials and Methods: The publications were searched within the Web of Science database, using “ocular”, “SARS-CoV-2”, “ophthalmology”, “eyesight”, and “COVID-19” as keywords for the period between January 2020 and January 2021. The Citation Network Explorer and the CiteSpace software were used to analyze the different publications. Results: A total of 389 publications with 890 citations generated on the web were found. It must be highlighted that July was the month with the largest number of publications. The most cited ones were “Characteristics of Ocular Findings of Patients with Coronavirus Disease 2019 (COVID-19) in Hubei Province, China” by Wu et al., which was published in May 2020. Three groups covering the different research areas in this field were found using the clustering functions: ocular manifestations, teleophthalmology, and personal protective equipment. Conclusions: The citation network has shown a comprehensive and objective analysis of the main studies on the impact of COVID-19 in ocular disease.

scholarly journals Bibliometric Study of the Comorbidity of Pain and Depression Research

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Xue-Qiang Wang ◽  
Meng-Si Peng ◽  
Lin-Man Weng ◽  
Yi-Li Zheng ◽  
Zhi-Jie Zhang ◽  
...  
Keyword(s):  
Web Of Science ◽  
Science Research ◽  
The United States ◽  
Clinical Neurology ◽  
Bibliometric Method ◽  
Research Areas ◽  
Cooperative Institutions ◽  
Number Of Publications ◽  
General Aspects ◽  
Over Time

Background. Comorbid pain and depression occur with high prevalence in clinical observations, and published academic journals about them have been increasing in number over time. However, few studies used the bibliometric method to analyze the general aspects of scientific researches on the comorbidity of pain and depression. The aim of this study is to systematically provide global scientific research in the comorbidity of pain and depression from 1980 to 2018. Methods. The published papers were searched between 1980 and 2018 in Web of Science. Publications related to comorbid pain and depression research were included. The language was restricted to English, and no species limitations were specified. Results. A total of 2,519 papers met the inclusion criteria in our study. The results revealed that the publications had a significant growth over time in the comorbidity of pain and depression research (P<0.001) by linear regression analyses. The United States had the largest number of publications and citations and the highest value of H-index. According to subject categories of Web of Science, research areas of the 2,519 papers mainly focused on clinical neurology (28.78%), neurosciences (22.9%), and psychiatry (22.23%). In accordance with types of pain, headache (19.09%) was the most popular topic in the included papers on comorbid pain and depression research. Conclusions. The findings provide useful information for pain and depression researchers to detect new areas related to collaborators, cooperative institutions, popular topics, and research frontiers.

scholarly journals Resilience of athletes: a systematic review based on a citation network analysis

2020 ◽  
Vol 20 (3) ◽  
pp. 26-40
Author(s):  
Camila cristina Fonseca bicalho ◽  
Gislane Ferreira de Melo ◽  
Franco Noce
Keyword(s):  
Systematic Review ◽  
Network Analysis ◽  
Web Of Science ◽  
Citation Network ◽  
Theoretical Models ◽  
Sport Performance ◽  
Individual Characteristics ◽  
Psychological Resilience ◽  
Citation Network Analysis ◽  
Academic Publications

The aims of the present study are to understand indicators and the scope of theoretical models adopted to describe athletes’ resilience, as well as to analyze their impact on investigations about such resilience. A search for original academic publications within a 10-year period was conducted in the PubMed / Medline, Web of Science, Taylor and Francis, Lilacs, Scopus, Humam Kinects and Science Direct databases, to substantiate a systematic literature review on athletes’ resilience. Articles were analyzed based on their methodological characteristics and citation network analysis. In total, 47 articles were identified and the most referenced one was Fletcher and Sarkar (2012), which was followed by Galli and Vealey (2008). The Grounded Theory of Psychological Resilience and Optimal Sport Performance by Fletcher and Sarkar (2012) seems to encompass the basic theoretical elementary aspects to better understand athletes’ resilience, so far. To conclude resilience is an on-going dynamic process based on individual characteristics and interactions with the environment.

scholarly journals Radiomics in Oncology: A 10-Year Bibliometric Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Haoran Ding ◽  
Chenzhou Wu ◽  
Nailin Liao ◽  
Qi Zhan ◽  
Weize Sun ◽  
...  
Keyword(s):  
Bibliometric Analysis ◽  
Web Of Science ◽  
Intensity Modulated Radiotherapy ◽  
Segmentation Methods ◽  
Chinese Academy Of Sciences ◽  
Great Progress ◽  
The Usa ◽  
State Of Research ◽  
Number Of Publications ◽  
Academy Of Sciences

ObjectivesTo date, radiomics has been applied in oncology for over a decade and has shown great progress. We used a bibliometric analysis to analyze the publications of radiomics in oncology to clearly illustrate the current situation and future trends and encourage more researchers to participate in radiomics research in oncology.MethodsPublications for radiomics in oncology were downloaded from the Web of Science Core Collection (WoSCC). WoSCC data were collected, and CiteSpace was used for a bibliometric analysis of countries, institutions, journals, authors, keywords, and references pertaining to this field. The state of research and areas of focus were analyzed through burst detection.ResultsA total of 7,199 pieces of literature concerning radiomics in oncology were analyzed on CiteSpace. The number of publications has undergone rapid growth and continues to increase. The USA and Chinese Academy of Sciences are found to be the most prolific country and institution, respectively. In terms of journals and co-cited journals, Scientific Reports is ranked highest with respect to the number of publications, and Radiology is ranked highest among co-cited journals. Moreover, Jie Tian has published the most publications, and Phillipe Lambin is the most cited author. A paper published by Gillies et al. presents the highest citation counts. Artificial intelligence (AI), segmentation methods, and the use of radiomics for classification and diagnosis in oncology are major areas of focus in this field. Test-retest statistics, including reproducibility and statistical methods of radiomics research, the relation between genomics and radiomics, and applications of radiomics to sarcoma and intensity-modulated radiotherapy, are frontier areas of this field.ConclusionTo our knowledge, this is the first study to provide an overview of the literature related to radiomics in oncology and may inspire researchers from multiple disciplines to engage in radiomics-related research.

scholarly journals Small and Medium Entrepreneurship: Bibliometric Analysis

2021 ◽  
pp. 53-60
Author(s):  
Natalia FILIMONOVA ◽  
Svetlana BOLTUNOVA ◽  
Victoria FILIMONOVA
Keyword(s):  
Web Of Science ◽  
Current Knowledge ◽  
Economic Systems ◽  
Time Interval ◽  
Research Topics ◽  
Research Areas ◽  
Research Fronts ◽  
Wide Range ◽  
Current Knowledge Base ◽  
Number Of Publications

Despite the high importance of small business for the development of economic systems, it faces a number of difficulties due to its size. These circumstances have attracted the attention of the scientific community. As the dynamics of the number of publications on the development of small and medium-sized enterprises shows, scientists around the world are interested in a wide range of issues. The purpose of this article was to analyze the evolution of research fronts and identify key research topics, the current knowledge base and influential publications of Russian and foreign scientists. We used the freeware product CiteSpaceV to conduct our research. To analyze the publications, we used the ISI Web of Science Core Collection (WoS) database, the selected time interval was from 1997 to 2020. As a result of this study, eight major clusters in the field of SME development were identified according to foreign publications; only one cluster was identified according to Russian publications. A comparison of research fronts on foreign publications with Russian topics can become the basis for forecasting promising research areas.

scholarly journals Subtype-specific gout susceptibility loci and enrichment of selection pressure on ABCG2 and ALDH2 identified by subtype genome-wide meta-analyses of clinically defined gout patients

2020 ◽  
Vol 79 (5) ◽  
pp. 657-665 ◽  
Author(s):  
Akiyoshi Nakayama ◽  
Masahiro Nakatochi ◽  
Yusuke Kawamura ◽  
Ken Yamamoto ◽  
Hirofumi Nakaoka ◽  
...  
Keyword(s):  
Selection Pressure ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Susceptibility Loci ◽  
Normal Type ◽  
Genome Wide ◽  
A Genome ◽  
Meta Analyses ◽  
Pressure Analysis

ObjectivesGenome-wide meta-analyses of clinically defined gout were performed to identify subtype-specific susceptibility loci. Evaluation using selection pressure analysis with these loci was also conducted to investigate genetic risks characteristic of the Japanese population over the last 2000–3000 years.MethodsTwo genome-wide association studies (GWASs) of 3053 clinically defined gout cases and 4554 controls from Japanese males were performed using the Japonica Array and Illumina Array platforms. About 7.2 million single-nucleotide polymorphisms were meta-analysed after imputation. Patients were then divided into four clinical subtypes (the renal underexcretion type, renal overload type, combined type and normal type), and meta-analyses were conducted in the same manner. Selection pressure analyses using singleton density score were also performed on each subtype.ResultsIn addition to the eight loci we reported previously, two novel loci, PIBF1 and ACSM2B, were identified at a genome-wide significance level (p<5.0×10–8) from a GWAS meta-analysis of all gout patients, and other two novel intergenic loci, CD2-PTGFRN and SLC28A3-NTRK2, from normal type gout patients. Subtype-dependent patterns of Manhattan plots were observed with subtype GWASs of gout patients, indicating that these subtype-specific loci suggest differences in pathophysiology along patients’ gout subtypes. Selection pressure analysis revealed significant enrichment of selection pressure on ABCG2 in addition to ALDH2 loci for all subtypes except for normal type gout.ConclusionsOur findings on subtype GWAS meta-analyses and selection pressure analysis of gout will assist elucidation of the subtype-dependent molecular targets and evolutionary involvement among genotype, phenotype and subtype-specific tailor-made medicine/prevention of gout and hyperuricaemia.

scholarly journals Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis

2019 ◽  
Vol 89 (8-9) ◽  
pp. 931-963 ◽  
Author(s):  
J. Piet Hausberg ◽  
Kirsten Liere-Netheler ◽  
Sven Packmohr ◽  
Stefanie Pakura ◽  
Kristin Vogelsang
Keyword(s):  
Network Analysis ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Innovation Management ◽  
Citation Network ◽  
Digital Transformation ◽  
Holistic View ◽  
Research Areas ◽  
Business Perspective ◽  
Citation Network Analysis

Abstract Digital transformation (DT) has become a buzzword, triggering different disciplines in research and influencing practice, which leads to independent research streams. Scholars investigate the antecedents, contingencies, and consequences of these disruptive technologies by examining the use of single technologies or of digitization, in general. Approaches are often very specialized and restricted to their domains. Thus, the immense breadth of technologies and their possible applications conditions a fragmentation of research, impeding a holistic view. With this systematic literature review, we aim to fill this gap in providing an overview of the different disciplines of DT research from a holistic business perspective. We identified the major research streams and clustered them with co-citation network analysis in nine main areas. Our research shows the main fields of interest in digital transformation research, overlaps of the research areas and fields that are still underrepresented. Within the business research areas, we identified three dominant areas in literature: finance, marketing, and innovation management. However, research streams also arise in terms of single branches like manufacturing or tourism. This study highlights these diverse research streams with the aim of deepening the understanding of digital transformation in research. Yet, research on DT still lacks in the areas of accounting, human resource management, and sustainability. The findings were distilled into a framework of the nine main areas for assisting the implications on potential research gaps on DT from a business perspective.

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