Strategic Diagram Research Articles

Data Mining in Healthcare: Applying Strategic Intelligence Techniques to Depict 25 Years of Research Development.

In order to identify the strategic topics and the thematic evolution structure of data mining applied to healthcare, in this paper, a bibliometric performance and network analysis (BPNA) was conducted. For this purpose, 6138 articles were sourced from the Web of Science covering the period from 1995 to July 2020 and the SciMAT software was used. Our results present a strategic diagram composed of 19 themes, of which the 8 motor themes (‘NEURAL-NETWORKS’, ‘CANCER’, ‘ELETRONIC-HEALTH-RECORDS’, ‘DIABETES-MELLITUS’, ‘ALZHEIMER’S-DISEASE’, ‘BREAST-CANCER’, ‘DEPRESSION’, and ‘RANDOM-FOREST’) are depicted in a thematic network. An in-depth analysis was carried out in order to find hidden patterns and to provide a general perspective of the field. The thematic network structure is arranged thusly that its subjects are organized into two different areas, (i) practices and techniques related to data mining in healthcare, and (ii) health concepts and disease supported by data mining, embodying, respectively, the hotspots related to the data mining and medical scopes, hence demonstrating the field’s evolution over time. Such results make it possible to form the basis for future research and facilitate decision-making by researchers and practitioners, institutions, and governments interested in data mining in healthcare.

Bibliometric analysis of research hotspots and development trends in selective fetal reduction.

To evaluate the theme trends and knowledge structure of multifetal pregnancy reduction (MPR)-related literature by using bibliometric analysis. Published scientific papers regarding MPR were retrieved from the PubMed database. Data extraction and statistics were conducted using Bibliographic Item Co-Occurrence Matrix Builder (BICOMB). Furthermore, gCLUTO software was used in the study for bi-clustering analysis and strategic diagram analysis. According to the search strategy, 906 total papers were included. Among all the extracted MeSH terms, 41 high frequency ones were identified and hotspots were clustered into four categories. In the strategic diagram, research on intrauterine treatment of MPR was most well developed. In contrast, statistical data on the sequelae of fetal reduction surgery and applications of MPR in assisted reproductive technologies were relatively immature. The analysis of common terms among the high-frequency network terms in multiparous pregnancy reduction can help researchers and clinicians understand the hotspots, key topics, and issues to be discovered on MPR. Research on intrauterine treatment of MPR was most well developed.

Mapping the intellectual structure of GIS-T field (2008\u20132019): a dynamic co-word analysis

Using geographic information systems (GIS) widely for dealing with transportation problems (is well-known as GIS-T), has made it nessasary for researchers to discover the current state-of-the-art and predict the trends of future research. This paper aims to contribute to a better understanding of GIS-T research area from a longitudinal perspective, over the period 2008–2019. A co-word analysis was used to illustrate all the underlying subfields of GIS-T based on published papers in the Web of Science (WoS) database service. The main knowledge areas representing the intellectual structure of GIS-T including (a) sustainability, (b) health, (c) planning and management, and (d) methods and tools, were detected. Finally, in order to illustrate the structure and development of the identified clusters, two-dimensional maps and strategic diagrams for each period were drawn. This study is the first attempt to employ a text mining method so as to detect the conceptual structure of GIS-T research area from a complex and interdisciplinary literature.

Thirty Years of Human Rights Study in the Web of Science Database (1990-2020).

The study of human rights (HR) is vital in order to enhance the development of human beings, but this field of study still needs to be better depicted and understood because violations of its core principles still frequently occur worldwide. In this study, our goal was to perform a bibliometric performance and network analysis (BPNA) to investigate the strategic themes, thematic evolution structure, and trends of HR found in the Web of Science (WoS) database from 1990 to June 2020. To do this, we included 25,542 articles in the SciMAT software for bibliometric analysis. The strategic diagram produced shows 23 themes, 12 of which are motor themes, the most important of which are discussed in this article. The thematic evolution structure presented the 21 most relevant themes of the 2011–2020 period. Our findings show that HR research is directly related to health issues, such as mental health, HIV, and reproductive health. We believe that the presented results and HR panorama presented have the potential to be used as a basis on which researchers in future works may enhance their decision making related to this field of study.

A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020.

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.

Exploring the Interdisciplinary Nature of Precision Medicine：Network Analysis and Visualization.

BackgroundInterdisciplinary research is an important feature of precision medicine. However, the accurate cross-disciplinary status of precision medicine is still unclear.ObjectiveThe aim of this study is to present the nature of interdisciplinary collaboration in precision medicine based on co-occurrences and social network analysis.MethodsA total of 7544 studies about precision medicine, published between 2010 and 2019, were collected from the Web of Science database. We analyzed interdisciplinarity with descriptive statistics, co-occurrence analysis, and social network analysis. An evolutionary graph and strategic diagram were created to clarify the development of streams and trends in disciplinary communities.ResultsThe results indicate that 105 disciplines are involved in precision medicine research and cover a wide range. However, the disciplinary distribution is unbalanced. Current cross-disciplinary collaboration in precision medicine mainly focuses on clinical application and technology-associated disciplines. The characteristics of the disciplinary collaboration network are as follows: (1) disciplinary cooperation in precision medicine is not mature or centralized; (2) the leading disciplines are absent; (3) the pattern of disciplinary cooperation is mostly indirect rather than direct. There are 7 interdisciplinary communities in the precision medicine collaboration network; however, their positions in the network differ. Community 4, with disciplines such as genetics and heredity in the core position, is the most central and cooperative discipline in the interdisciplinary network. This indicates that Community 4 represents a relatively mature direction in interdisciplinary cooperation in precision medicine. Finally, according to the evolution graph, we clearly present the development streams of disciplinary collaborations in precision medicine. We describe the scale and the time frame for development trends and distributions in detail. Importantly, we use evolution graphs to accurately estimate the developmental trend of precision medicine, such as biological big data processing, molecular imaging, and widespread clinical applications.ConclusionsThis study can help researchers, clinicians, and policymakers comprehensively understand the overall network of interdisciplinary cooperation in precision medicine. More importantly, we quantitatively and precisely present the history of interdisciplinary cooperation and accurately predict the developing trends of interdisciplinary cooperation in precision medicine.

40 years of sharing economy research: An intellectual and cognitive structures analysis

This study aims to analyze the intellectual and cognitive structures of the sharing economy as a field of research. Adopting an integrated bibliometric approach of citation, co-citation, and co-word analysis, this study analyses 941 articles published on Web of Science from 1978 to 2019. Findings reveal that despite there being a latent concentration in citations distribution, the ascending and descending influence patterns discovered over time indicate a dynamic flow and healthy growth of the field. The analysis of the intellectual structure identifies four main areas of research, with hospitality and tourism being the most developed, and the journals about hospitality being the preferred channel for research into the sharing economy. Finally, for the cognitive structure analysis, in-depth strategic diagrams, thematic evolution, and trend analysis disclose some research gaps. Thus, we contribute to the sharing economy literature by inductively synthesizing, and organizing SE research, and by proposing future research directions.

Mapping theme trends and knowledge structure of labor analgesia: a quantitative, co-word biclustering analysis of data in 2000-2020

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.

Thematic development of research on patient safety: An analysis with the science mapping technique.

A large amount of scientific literature is forcing those who want to study the subject deeply. In general, the number of articles available exceeds thousands. It has become challenging both to dominate the current concept and to see the relationships between the developments that feed the concept. Visualization techniques based on bibliometric data help to gain an overview of the literature on complex research topics. The aim of this study is to examine the topic of “patient safety” with a bibliometric analysis program. The data of 8372 articles obtained from the Web of Science database were analyzed with SciMAT2 software. Before the analysis, general findings regarding the raw data were brought to the fore. The strategic diagram and thematic development map have been analyzed in terms of 10-year periods covering the past 30 years. Five motor themes (“contrast agent,” “adverse events,” “program,” “safety,” “prostatectomy”) were identified in 1990-1999, four motor themes (“infection control,” “hospital-acquired infections,” “adverse drug events,” “culture”) in 2000-2009 and nine motor themes (“patient safety,” “education,” “climate,” “system,” “mortality,” “operating room,” “validity,” “burnout,” “primary care”) in 2010-2019. The number of motor themes increased during the period and adverse events, which were the active subjects of the early periods, were replaced by new concepts (such as climate, primary care, and burnout) over time. Bibliometric visualization tools make it possible to analyze the literature consisting of a large number of articles. This approach facilitates a person’’s understanding of a complex research topic such as patient safety and ensures that they are aware of new research directions or alternative research priorities.

Klinik Uygulama Rehberlerinin Gelişimi: Bilim Haritalama Analizi

The aims of this study are to see the development of clinical practice guides (CPG) in the field of social sciences, to evaluate its development especially in terms of health management, to identify the prominent subjects in the future, and to discover the relationships among the important subjects of CPGs. Bibliometric mapping method has been used in this study. The studies analyzed by bibliometric mapping were downloaded from the Web of Science Core Collection database and analyzed by the SciMAT science mapping program. The analysis was conducted with the data arranged within the time frames of '1990-1999', '2000-2009' and '2010-2019'. 'Words' were used as the primary analysis parameter. The data gathered from published studies were assessed by strategic diagrams, overlap map, thematic evolution map as well as thematic network map. Performance analysis of the emerging themes was done with the information of h-index and the total citation number of the studies included in bibliometric mapping. This study showed that the most publications on CPG were released in 2017, the USA was the high-ranking country in these publications, the important motor themes were determined as 'clinical guidelines' in the first period, 'clinical practice guidelines' and 'quality' in the second period, and 'management' and 'implementation' in the third period. It can be concluded that, in parallel with the increase of the publications on CPGs, the number of new relevant keywords will continue to increase. It is also evaluated that the studies on applying CPGs into practice, determining the experiences and attitudes of healthcare professionals towards CPGs, diminishing the obstacles on the way of implementing CPGs, evaluating CPGs from the managerial point of view and the effects of CPGs on the healthcare services in terms of quality, efficiency and outcomes will continue to increase soon.

100 Years of Scientific Evolution of Work and Organizational Psychology: A Bibliometric Network Analysis From 1919 to 2019.

In this study, we explore a 100 years of Work and Organizational Psychology (WOP). To do this, we carry out a bibliometric performance and network analysis (BPNA) to understand the evolution structure and the most important themes in the field of study. To perform the BNPA, 8,966 documents published since 1919 were exported from the Web of Science and Scopus databases. The SciMAT software was used to process data and to create the evolution structure, the strategic diagram, and the thematic network structure of the strategic themes of the field of WOP. We identified 29 strategic clusters and discuss the most important themes (motor themes) and their relationship with other clusters. This research presents the complete evolution of the field of study, identifying emerging themes and others with a high degree of development. We hope that this work will support researchers and future research in the field of WOP.

Focuses and trends of the studies on pediatric palliative care：A bibliometric analysis from 2004 to 2018

ObjectivesTo investigate the focuses and trends of the studies on pediatric palliative care (PPC) and provide directions for future research. MethodsRelevant papers about PPC published from 2004 to 2018 were analyzed using bibliometric analysis methods, including co-word analysis, biclustering analysis, and strategic diagram analysis. The included papers were divided into three groups based on the publication time, including 2004–2008, 2009–2013, and 2014–2018. ResultsA total of 1132 papers were published between 2004 and 2018, and there were 293 papers published between 2004 and 2008, 396 between 2009 and 2013, and 443 between 2014 and 2018. There were 42 high-frequency MeSH terms/MeSH subheadings in papers published between 2004 and 2018, including 12 between 2004 and 2008, 13 between 2009 and 2013, and 17 between 2014 and 2018. ConclusionStudies on PPC were making progress, with the increasing number, expanding scope, and uneven global distribution. Integration palliative care into pediatrics, cancer treatments in pediatric oncology, education methods on PPC, and establishment of professional teams were the major themes during 2004–2008, then the themes changed into establishing interventions to enhance the quality of life of the patients and parents, building professional-family relationship, and investigating attitude of health personnel in PPC during 2009–2013 and subsequently turned into communication skills, end-of-life decision making, and guidelines making on PPC during 2014–2018. Underdeveloped and protential themes including effective approaches to deal with the ethical dilemmas, training programs on communication skills, family support and guideline making are worth studying in the future.

Visualizing research trends and research theme evolution in E-learning field: 1999\u20132018

This paper aims to provide a comprehensive understanding of the evolution of major research themes and trends in e-learning research. A co-word analysis is applied for the analysis of the 21,656 keywords collected from 7214 articles published in 10 journals in the field of e-learning from the years 1999 to 2018. Specifically, a cluster analysis, social network analysis, strategic diagram, and graph theory were applied in the analysis for two time periods: 1999–2008 and 2009–2018. The study detects the bridging, popular, and core topics in e-learning research for the two periods. The research results indicate that e-learning research has undergone a health evolution over the past two decades. There is a temporal continuity of e-learning research because some research topics have kept their continuity over the studied 20 years. Meanwhile, the research traditions in the e-learning field are also continuously evolving with the development of new technologies. The results also offer useful hints on the future direction of how the field may evolve.

Hotspot Analysis of Traditional Drugs in Diabetes Treatment Literature.

To summarize current hotspots and predict the potential trends in traditional drugs of diabetes treatment for further research. Publications on the application of traditional drugs in diabetes treatment were searched from PubMed without language limits. Highly frequent MeSH terms were identified through Bibliographic Item Co-Occurrence Matrix Builder (BICOMB). Biclustering analysis results were visualized utilizing the gCLUTO software. Finally, a strategic diagram was generated. Totally 2,386 relevant publications were obtained from PubMed on November 9th, 2018, and 69 highly frequent MeSH terms were identified. Biclustering analysis revealed that these highly frequent MeSH terms were classified into 7 clusters. After calculating the density and centrality of each cluster, strategy diagram was presented. Cluster 0 "Chinese medicine monomers such as antioxidant and hypoglycemic effects" was considered as the most potential research hotspot. In this study, we found 7 topics related to the application of traditional drugs in diabetes treatment. The molecular mechanisms of Chinese medicine monomers in diabetes could become a potential hotspot with high centricity and low density.

KEY AUDIT MATTERS: A PERSPECTIVE BASED ON BIBLIOMETRIC ANALYSIS

Key audit matters (KAM), based on auditor judgment, are the most significant matters in the audit of financial statements of the current period. This study aims to determine the strategic diagram of key audit matters and to see the longitudinal evolution of KAM’s after the released draft in 2013. To do that, the authors use science mapping and co-word analysis based on data generated from the Web of Science in SciMAT. Results show that the motor theme for KAM’s is the “Audit Expectation Gap.” Also, the “client characteristic” is the next motor theme. Also, the authors think some sub-themes will emerge.

Mapping of diseases from clinical medicine research\u2014a visualization study

By employing bibliometric method, this study aimed to visualize the research hotspots and correlations among clinical medicine subjects. Literatures were retrieved from the PubMed database based on MeSH words and free-text phrases and screened based on inclusion and exclusion criteria. The disease themes were manually marked according to ICD-10. Co-word analysis and strategic diagram methods were applied to explore the hot topics and development trends of disease themes. 2551 articles were included after literature screening. The amount of paper showed an increasing trend and reached a peak in 2013. The subjects of adults and the elderly accounted for 45.0% and 27.0% respectively. The United States of America had the most publication, with Massachusetts and California being the most prevalent states, and Harvard University was the most prolific institution. Co-word analysis revealed that research hot topics of diseases were divided into 8 themes, among which the most was “disease of the circulatory system” and “injury, poisoning and certain other consequences of external causes”. The strategic diagram showed that the above two topics were mature but relatively independent, while the “physical fitness” topic was not mature enough but was closely related to the others. There are more and more data-driven studies in the field of medicine and health, while, huge development spaces in the full spectrum of the diseases do exist. Mining the published researches through bibliometrics and visualized methods could come up with valuable results to inform further study.

Circular Economy. A Review and Bibliometric Analysis

The aim of the study is mapping the thematic structure of the circular economy research by mapping research outputs related to it. The methodology consists of developing a bibliometric study based on data obtained from the Web of Science and the Scimago Journal & Country Rank from 2016 to 2019. Some descriptive and bibliographic maps and strategic diagrams are shown; they are generated by SciMAT and VOSViewer. In addition, there is also a bibliometric analysis using alternative metrics. The analysis highlights a new perspective on the subject, analysing the concept from the business administration perspective and not only from the traditional viewpoint of the environmental sciences and industrial production. Finally, the analysis identifies future implications of the circular economy linked to the field of business management.

A Scientometrics Review on Farmland Abandonment Research

Using the Web of Science database, 1498 research articles published between 1900 and 2019 on the subject of farmland abandonment were retrieved. With the help of the SciMAT tool, a theme strategic diagram, overlay map and evolution map represented by keywords were constructed, and the strategic coordinate analysis and data flow analysis methods were used to analyze the research themes, evolutionary states and paths of farmland abandonment in different research time periods. The results show the following: (1) Research on farmland abandonment has rapidly grown in the past ten years, the development of studies on farmland abandonment has become more mature, and the research topics and content have tended to solidify; (2) The research topics of studies on farmland abandonment are mostly centered on forests, patterns, landscapes, land use changes, climate change, etc. The research topics have had strong continuity and few new research hotspots; (3) The study of the ecological environment effect of farmland abandonment is the basic research direction in the field of farmland abandonment and will continue to become a research hotspot; (4) Farmland abandonment has become an important part of the research on land use change and ecosystem processes; (5) The driving force of farmland abandonment includes natural, social and economic factors, among which the socioeconomic factors are the most important driving force, and will continue to be a research hotspot. Finally, this study concludes that the research directions on farmland abandonment in future should strengthen the quantitative assessment of environmental effects of farmland abandonment, information extraction and multiscale simulation monitoring, trend prediction and risk assessment.

Research on the Development of Theme Trends and Changes of Knowledge Structures of Drug Therapy Studies on Major Depressive Disorder Since the 21st Century: A Bibliometric Analysis.

BackgroundAntidepressant treatment is one of the most effective ways of relieving or curing depressive symptoms in patients with major depressive disorder (MDD). Although many studies have explored the efficacy, tolerability, adverse reactions, and functional mechanism of the disease, there has been no systematic evaluation of the relevant results in this field.AimThis paper aims to analyze the theme trends and knowledge structure of drug therapy studies on MDD since the 21st century by employing bibliometric analysis.MethodsLiterature published in PubMed and related to drug therapy studies on MDD were retrieved between 2001 and 2018 in 6-year increments. After extracting major Medical Subject Headings (MeSH) terms/MeSH subheadings, bi-clustering analysis, social network analysis, and strategic diagrams were employed to complete bibliometric analysis.ResultsOverall, 1,577, 2,680, 2,848 relevant research articles were retrieved for the periods during 2001–2006, 2007–2012, and 2013–2018, respectively. In line with strategic diagrams, the main undeveloped and peripheral theme clusters during 2001–2006 were functional mechanisms of antidepressants in pathophysiology, neuroendocrinology and neural biochemistry. These themes were replaced during 2007–2012 by clinical efficacy and influencing factors of antidepressants with or without psychotherapy, mechanisms of adverse reactions of antidepressants, and predictive studies of clinical therapeutic effects of antidepressants based on brain imaging. During 2013–2018 application and evaluation of new antidepressant agents, early identification and prevention of suicide of patients with MDD, as well as genetic- or bio-markers affecting the response and efficacy of antidepressants were the primary themes. Based on social network analyses, emerging hotspots, such as antidepressive agents, second-generation/adverse effects, depressive disorder, major/metabolism, psychotherapy/methods, and brain/drug effects could be identified during 2007–2012 and 2013–2018.ConclusionsThese undeveloped theme clusters and emerging hotspots can be helpful for researchers to clarify the current status of their respective fields and future trends, and to generate novel ideas that may launch new research directions.

Bibliometric analysis of subject trends and knowledge structures of gut microbiota.

Gut microbiota is an emerging field of research, with related research having breakthrough development in the past 15 years. Bibliometric analysis can be applied to analyze the evolutionary trends and emerging hotspots in this field. To study the subject trends and knowledge structures of gut microbiota related research fields from 2004 to 2018. The literature data on gut microbiota were identified and downloaded from the PubMed database. Through biclustering analysis, strategic diagrams, and social network analysis diagrams, the main trend and knowledge structure of research fields concerning gut microbiota were analyzed to obtain and compare the research hotspots in each period. According to the strategic coordinates and social relationship network map, Clostridium Infections/microbiology, Clostridium Infections/therapy, RNA, Ribosomal, 16S/genetics, Microbiota/genetics, Microbiota/immunology, Dysbiosis/immunology, Infla-mmation/immunology, Fecal Microbiota Transplantation/methods, Fecal Microbiota Transplantation can be used as an emerging research hotspot in the past 5 years (2014-2018). Some subjects were not yet fully studied according to the strategic coordinates; and the emerging hotspots in the social network map can be considered as directions of future research.