High Frequency Keywords Research Articles

Knowledge Mapping of Necroptosis From 2012 to 2021: A Bibliometric Analysis.

BackgroundNecroptosis, a recently discovered programmed cell death, has been pathologically linked to various diseases and is thus a promising target for treating diseases. However, a comprehensive and objective report on the current status of entire necroptosis research is lacking. Therefore, this study aims to conduct a bibliometric analysis to quantify and identify the status quo and trending issues of necroptosis research in the last decade.MethodsArticles were acquired from the Web of Science Core Collection database. We used two bibliometric tools (CiteSpace and VOSviewer) to quantify and identify the individual impact and cooperation information by analyzing annual publications, journals, co-cited journals, countries/regions, institutions, authors, and co-cited authors. Afterwards, we identified the trending research areas of necroptosis by analyzing the co-occurrence and burst of keywords and co-cited references.ResultsFrom 2012 to 2021, a total of 3,111 research articles on necroptosis were published in 786 academic journals by 19,687 authors in 885 institutions from 82 countries/regions. The majority of publications were from China and the United States, of which the United States maintained the dominant position in necroptosis research; meanwhile, the Chinese Academy of Sciences and Ghent University were the most active institutions. Peter Vandenabeele published the most papers, while Alexei Degterev had the most co-citations. Cell Death & Disease published the most papers on necroptosis, while Cell was the top 1 co-cited journal, and the major area of these publications was molecular, biology, and immunology. High-frequency keywords mainly included those that are molecularly related (MLKL, TNF-alpha, NF-κB, RIPK3, RIPK1), pathological process related (cell-death, apoptosis, necroptosis, necrosis, inflammation), and disease related (cancer, ischemia/reperfusion injury, infection, carcinoma, Alzheimer’s disease).ConclusionNecroptosis research had a stable stepwise growth in the past decade. Current necroptosis studies focused on its cross-talk with other types of cell death, potential applications in disease treatment, and further mechanisms. Among them, the synergy with ferroptosis, further RIPK1/RIPK3/MLKL studies, its association with inflammation and oxidative stress and translational applications, and the therapeutic potential to treat cancer and neurodegenerative diseases are the trending research area. These might provide ideas for further research in the necroptosis field.

Developments and Emerging Trends in the Global Treatment of Chronic Rhinosinusitis From 2001 to 2020: A Systematic Bibliometric Analysis.

BackgroundResearch on the treatment of chronic rhinosinusitis (CRS) has increased in recent decades. We undertook a bibliometric and visualization analysis of studies on CRS treatment to track research trends and highlight current research “hotspots”.MethodsOriginal publications related to CRS treatment were obtained from the Science Citation Index-Expanded (SCI-E) and Social Sciences Citation Index (SSCI) databases in the Web of Science Core Collection (WoSCC) of Clarivate Analytics between 2001 and 2020. The country/region, institution, author, journal, references, and keywords involved in this topic were extracted using CiteSpace and VOSviewer to identify and analyze the research focus and trends in this field.ResultsIn the previous two decades (especially after 2015), the number of publications on CRS treatment has grown markedly. With regard to publications and access to collaborative networks, the leading country was the USA. High-frequency keywords were “CRS,” “endoscopic sinus surgery,” “sinusitis,” “nasal polyps,” “asthma,” “rhinosinusitis,” “management,” “diagnosis,” “outcomes,” and “quality of life.” Inspection of keyword bursts suggested that “clinical practice guideline,” “adult CRS,” “innate lymphoid cell,” “recurrence,” and “mepolizumab” are the emerging research hotspots. The timeline view of the cluster map revealed that biologic agents have become an up-and-coming “hot topic” in CRS treatment in recent years.ConclusionAcademic understanding of CRS treatment has improved markedly over the past 20 years. We study analyzed the papers objectively, methodically, and comprehensively, and identified hotspots and prospective trends in the field of CRS treatment. These results will aid rhinologists in gaining greater insight into CRS treatment strategies and identifying the changing dynamics of CRS research.

Research hotspots and emerging trends of automated peritoneal dialysis: A bibliometric analysis from 2000 to 2020.

The implementation of automated peritoneal dialysis (APD) has considerably increased in many countries. We conducted a bibliometric analysis to evaluate the accumulating studies on APD in the last two decades quantitatively and qualitatively. Publications regarding APD research between 2000 and 2020 were retrieved from the Web of Science Core Collection database by using the index term "automated peritoneal dialysis." CiteSpace, VOSviewer, and an online platform were employed to analyze the number of publications and the collaboration relationships between countries, institutions, authors, and co-cited journals. Cluster analysis and burst keywords detection were performed on co-cited references and keywords, respectively. We obtained a record of 545 publications related to APD in total. The United States was the country that contributes most, and Baxter Healthcare Corporation was the leading institution. Peritoneal Dialysis International was the most active journals in this field. Claudio Ranco was the most productive author, and Simon J Davies ranked the first in the cited authors. Co-cited reference cluster analysis and high frequency keywords showed that survival, ultrafiltration and peritonitis are continuous hot topics. While remote monitoring (RM) and telemedicine may be APD research frontiers according to burst keywords detection. This bibliometric study provides comprehensive overview on the publications of APD over the past two decades. These findings help to identify the hotspots and explore new directions for future research. RM has become an emerging trend in APD field.

Emerging evolution trends of application of natural products in Alzheimer’s disease

The main objective of this review was to explore the research foci and emerging trends of application of natural products in AD from 1990 to 2019 and evaluated publications qualitatively and quantitatively. CiteSpace V. 4.0 was used to identify top authors, journals, institutions, countries, keywords, co-cited articles, and trends and obtain the visual knowledge maps. Results revealed that the USA, People’s Republic of China and India were the major research countries in this field, while the Western Europe and North America were the areas with frequent international cooperation. Moreover, there was a close collaboration between universities and research institutes. The J Alzheimers Dis was the most productive journal. Alzheimers disease, natural product, brain, central nervous system, disease, and oxidative stress are some of the high centrality and high frequency keywords in the co-occurrence analysis; Indicating Alzheimers disease and its pathogenesis and natural product remain the hotspots in the field. This paper provides an insight into the application of natural products in AD, and provides useful information for AD researchers to find potential collaborators and cooperative institutions.

Worldwide Tinnitus Research: A Bibliometric Analysis of the Published Literature Between 2001 and 2020.

BackgroundIn recent years, tinnitus has attracted increasing research interest. However, bibliometric analysis of global research on tinnitus is rare. The objective of this study was to identify and describe the foci and developing trends of tinnitus research using a bibliometric approach.MethodsPublications related to tinnitus published from 2001 to 2020 were searched for in the Science Citation Index-Expanded (SCI-E) and Social Sciences Citation Index (SSCI) databases in the Web of Science Core Collection of Clarivate Analytics. The bibliometric approach was used to estimate the searched data, and VOSviewer and CiteSpace software were used to identify and analyze research foci and trends in the field of tinnitus.ResultsA total of 5,748 articles were included. The number of publications on tinnitus has increased dramatically in the last 20 years, especially since 2010. The leading country in terms of publications and access to collaborative networks was the United States. High-frequency keywords included tinnitus, hearing loss, prevalence, management, depression, mechanism, vertigo, hearing, inferior colliculus, and noise. The analyses of keyword burst detection indicated that prevalence, anxiety, and neural network are emerging research hotspots.ConclusionIn the past 20 years, academic understanding of tinnitus has improved considerably. This study provides an objective, systematic, and comprehensive analysis of tinnitus-related literature. Furthermore, current hot spots and prospective trends in the field of tinnitus were identified. These results will assist otolaryngologists and audiologists in identifying the evolving dynamics of tinnitus research and highlight areas for prospective research.

Global research trends in perioperative care for the elderly: a bibliometric and visualized study.

Aged surgical patients are at a relatively higher risk of morbidity and mortality than younger surgical patients. The present study aimed to investigate the trends and research status of perioperative care for the elderly in the anesthesiology field. We screened manuscripts published between May 31, 1991, and May 31, 2020, from the Web of Science Core Collection (WoSCC). A clustered network was derived from all references cited in all of the included manuscripts. The top authors, journals, institutions, countries, keywords, co-cited articles, and trends were identified through bibliometric analysis and visualization using CiteSpace 5.8.R3 and VOSviewer 1.6.15. We included a total of 1860 manuscripts published between 1991 and 2020. The number of publications on perioperative care for the elderly sharply increased from 2014 onwards. The United States of America and the University of California, San Francisco were the leading publication country (24.8%, 461/1860) and institution (2.6%, 48/1860), respectively. High-frequency keywords in cluster analysis included the type of anesthesia, postoperative pain management, postoperative cognitive dysfunction, and postoperative delirium, indicating postoperative cognitive dysfunction and postoperative delirium remain the focus areas for research in perioperative care for the elderly. Organ function protection was the new research focus according to the burst detection analysis of top keywords. The number of studies on perioperative care for the elderly has increased apparently worldwide. Postoperative cognitive dysfunction and postoperative delirium remain primary research focus areas. Organ function protection appears to be the second most highly researched topic in the perioperative care for the elderly.

Visualization analysis of research “hot spots”: self-management in breast cancer patients†

Abstract Objective To identify the research on “hot spots” and frontiers of self-management in patients with breast cancer. Methods We searched the Web of Science database for articles associated with keywords, and used CiteSpaceIII to analyze the data. Results A total of 958 documents were included. High-frequency keywords covered “quality of life (QOL),” “randomized controlled trial,” “depression,” “fatigue,” and “meta-analysis.” Research on self-management by patients with breast cancer has mainly been conducted in the United States of American (USA) and other western countries, whereas the Asian country, China ranked eighth among the top 10 countries. Conclusions The analysis revealed research on “hot spots” particularly research on psychological health and QOL. Promoting clinical research, encouraging evidence-based practice, and developing nursing specialization may improve research on self-management interventions for patients with breast cancer.

Descriptive language of ‘Thai SELECT Premium’ restaurant menus: Appealing perception and collocations

The study examined menu descriptions of Thai restaurants on how appealing the menus communicated with customers. Data were taken from restaurant websites with ‘Thai SELECT Premium’ certifications in the UK. 673 menu items were obtained and analyzed in five categories (nationalism, characteristics, sensory cues, branding, organic and healthy concerns). Sensory cues category was mostly used (68.95%) followed by characteristics (41.9%) and nationalism 17.53%). Six Thai dishes on CNN Travel World’s 50 Best Foods list in 2011 were investigated on appealing perception of menu descriptions via online questionnaire. Of the six dishes, there were 51 menu descriptions, and 26 descriptions were rated as ‘much appealing’. Nationalism (20/26) was mostly found followed by sensory cues (16/26). Menu data were also analyzed by AntConc to extract the high frequency keywords and collocation patterns. Mostly found noun keywords were seven (sauce, chicken, curry, chilli, rice, prawns, and beef) and mostly found adjective keywords were four (sweet, green, red, and spicy). The most frequent collocation patterns were ‘noun + noun’ and ‘adjective + noun’. Respondents requested short and precise menu descriptions, information of food ingredients to help in decision making, and local Thai food names either in Thai words or English transliteration to create exotic experience and to imply the originality.

Visual analysis of research on multidrug-resistant bacteria in intensive care unit in China

To identify the distribution of research hotspots and frontiers of multidrug-resistant bacteria in intensive care units in China through the method of visualization, and to predict future research directions, analyze the research development process, so as to provide reference basis for further research in this field. Studies related to multidrug-resistant bacteria in intensive care units published in China from 2000 to 2019 by CNKI were reviewed. According to the keywords by CiteSpace 5.6.R2, the co-occurring network was generated to analyze the distribution of research hotspots in this field. Meanwhile, the mutation map of keywords was used to forecast the future research directions to a certain extent. A total of 1 324 articles were finally included in the quantitative analysis. From 2000 to 2019, the number of publications in the field of multi-drug resistant bacteria in intensive care units showed a gradual increase, of which the number of publications increased rapidly from 2008 to 2014 (the number of publications increased from 34 to 124 articles). In the initial stage of research, conceptual keywords appeared, such as intensive care unit, infection, pathogenic bacteria and drug resistance among others. A dense keywords group appeared from 2008 to 2014, which covered several aspects, such as nosocomial infection, Acinetobacter baumannii, pathogenic bacteria, drug resistance, pulsed field gel electrophoresis and nursing etc., suggesting that research in this field has entered a period of vigorous development. High-frequency keywords, such as risk factors, pathogens, antibiotics, nosocomial infections, drug resistance genes and homology appeared from 2015 to 2019, thus representing the hotspots in recent years. The overall research on multidrug-resistant bacteria in intensive care units in China has gradually improved. The current studies focus on homology analysis and multidrug-resistant bacteria infections, among other topics. Further explorations at the genetic level will be conducted to fill the research vacancy in this field and to provide molecular biological basis for reducing the occurrence of multidrug-resistant bacteria in the future.

Tracking developments in artificial intelligence research: constructing and applying a new search strategy

Artificial intelligence, as an emerging and multidisciplinary domain of research and innovation, has attracted growing attention in recent years. Delineating the domain composition of artificial intelligence is central to profiling and tracking its development and trajectories. This paper puts forward a bibliometric definition for artificial intelligence which can be readily applied, including by researchers, managers, and policy analysts. Our approach starts with benchmark records of artificial intelligence captured by using a core keyword and specialized journal search. We then extract candidate terms from high frequency keywords of benchmark records, refine keywords and complement with the subject category “artificial intelligence”. We assess our search approach by comparing it with other three recent search strategies of artificial intelligence, using a common source of articles from the Web of Science. Using this source, we then profile patterns of growth and international diffusion of scientific research in artificial intelligence in recent years, identify top research sponsors in funding artificial intelligence and demonstrate how diverse disciplines contribute to the multidisciplinary development of artificial intelligence. We conclude with implications for search strategy development and suggestions of lines for further research.

An analysis of the status quo of ground-level ozone pollution research

Objective: To analyze the research status of ground-level ozone pollution, explore research trends and hot spots, and provide references for future research on air pollution. Methods: Papers on ground-level ozone pollution research published before December 31, 2019 had been retrieved in SCI-E database of the "Web of Science Core Collection" in January 2020. The retrieval strategies were set as follows: TS= ( ("Tropospheric Ozone" OR "Low Level Ozone" OR "Ground Level Ozone") AND ("Air pollution*" OR "Air quality") ) . The survey included 2084 articles. By using bibliometric research and visual analysis tools, the research status of global ground-level ozone pollution was revealed from the aspects of time, discipline, journal, financing, institution, country and key words. Results: Cumulative publications increased in a cubic function of y=0.05x(3)+0.80x(2)+0.74x+4.55 (R(2)=0.999, P<0.01) . The most studied subject was Environmental sciences ecology (1401 articles, 67.23%) . Atmospheric Environment was the journal with the most articles (332 articles, 15.93%) . The United States was the country with the most publications (44.67%, 931/2084) , while China ranked second (17.13%, 357/2084) . 80.39% (287/357) of Chinese papers had funding information. Among the top 10 research institutions, 7 and 2 were affiliated to the United States and China respectively. Source apportionment and human health were high frequency keywords that had appeared in the last 5 years. Conclusion: The research on ground-level ozone pollution is in a good period of development. The United States has a leading position in this area, and China has a good prospect in this field. Pollution source apportionment and human health effects are new research directions.

Network analysis and scientific mapping of the field of e-learning in Iran

The main objectives at this research to network analysis and present the scientific map of the field of e-learning in Iran. The importance of this research is to identify emerging and prominent subject areas; and to identify and analyze the co-occurrence network of the e-learning in Iran based on the closeness and betweenness centrality measures. It is a scientometric research, using quantitative method and citation analysis. In order to draw a scientific map of e-learning research literature, the data were extracted from the Web of Science database within a specified time period. The retrieved records were formatted using WC10.exe conversion software, and were then mapped using VOSviewer software. The findings revealed a growing trend in the number of articles published in the field of e-learning, and this number increases on an annual basis. The most widely used subject areas in the field of e-learning were identified. High frequency keywords such as e-learning, education, technology, system and satisfaction are the newly emerging and active concepts in this field. Regarding the widely used subject areas in the field of e-learning, it was noted that the two areas of e-learning and education are ranked first and second as the most frequently used terms. The keywords “technology, system and satisfaction” are the other high frequency terms representing the newly emerging concepts in this field. The field of e-learning was mapped based on the closeness centrality measure and its findings revealed that topics such as learning, technology & system learning have the greatest impact on the map. In contrast, information technology, education technology and learning with the lowest centrality and the least impact.

Knowledge map of Yellow River Basin’s water resources based on literature analysis

The Yellow River Basin (YRB) is an important economic zone in China. The issue of water ecology has attached widely attention by scholars and society. This paper systematically reviewed the status, hotspots and development tendency on water resources research in the YRB based on the China National Knowledge Infrastructure (CNKI) database from 1992 to 2019. The SATI4.0 was used to analyze the annual publication, journal sources and keywords. High-frequency keywords were extracted, and software including NetDraw, SPSS and CiteSpace were used to analyze the co-occurring keywords, clustering and research frontier. Results showed that: (1) The number of published papers had increased before 2005 and decreased after it. The quantity of paper has increased sharply since 2018, indicating that the research has a new direction. (2) The source of journals mainly concentrated on basic subjects and hydraulic engineering. (3) The cluster analysis shows that hydrologic features, water management and protection and the water rights system are hotspots. (4) The result of research frontier indicates that sensitivity, ecological protection and high-quality development of water resources have ample research perspectives. It is general trend to combine the scientific methods with traditional methods. The results are conducive to systematically understand research advances and trends of water resources under changing environment, thereby promoting the construction of ecological civilization in the YRB.

Progress of intensive care unit delirium research from 2010 to 2020: analysis based on knowledge visualization

To explored the progress of intensive care unit (ICU) delirium between 2010 and 2020 based on knowledge visualization analysis. The literatures related to ICU delirium included in Web of Sciences (WOS) and China National Knowledge Infrastructure (CNKI) databases from 2010 to 2020 were collected. A bibliometric analysis was performed. The growth trend was showed by Excel 2019 software. The information about country, institution and author were extracted by VOSviewer 1.6.15 for generating cooperative network, to find the main research power and each cooperative relation. At the same time, Citespace 5.0.R1 was used to analyze those high frequency keywords and bursting keywords and build the map of co-citation reference, in order to explore the evolution of research in the field of ICU delirium and the hotspots about this field in recent 10 years. A total of 1 102 Chinese journal articles and 2 422 English "Articles" or "Reviews" from 2010 to 2020 were collected preliminarily, and the number of published literatures increased steadily. In the respect of quality, the impact factors of most articles were concentrated between 2 and 3, and the literatures with impact factor over 5 accounted for 27.9% (337/1 209). According to the knowledge visualization analysis, the United States published most of the related articles (total 1 152) in this field, while the England and Canada ranked second and third respectively, totaling 220 and 204. In terms of the distribution of research institutions, the Vanderbilt University School of Medicine was not only far ahead in the number of publication (n = 149), but more importantly, top three high-impact authors located in this institution. The amount of domestic publications was lower than developed countries, however, the burst index, which reflected the sudden increase, ranked first (7.09), suggesting that the interest and investment of Chinese researchers was increasing recently. The most productive institution in China was Capital Medical University School of Nursing with totaling 23 articles. Wu Ying, who published most Chinese papers (n = 14), belongs to this institution. However, it was a pity that there was no large scientific community be constructed in China, and the cooperation between institutions was deficient. By generating the co-occuring keyword mapping, the research hotpots mainly focused on the prevention, treatment and prevention of delirium in mechanically ventilated patients, the effect of dexmedetomidine and exploring the risk factor of ICU delirium. Finally, the results of co-citation reference analysis showed that Cluster 4 (risk assessment) was still in the process of development, in hence it was the frontier in this domain. There was a big gap between China and leading countries in the field of ICU delirium research. The main research power was located in the United States, and the trending of future studies mainly focus on delirium-related risk assessment.

Analysis on the Research Approach and Trends of Medical Image Processing in China

In order to explore the research approach and hotspots in the field of medical image processing in China, the authors retrieved related literature in the field of medical image processing in China from 2009 to 2019 in CNKI database, and preprocessed the retrieved data. Then Citespace was used to analyze the retrieved data of 1363 documents from 2009 to 2019, the paper counted the basic situation of the article’s publication time, subject, and analyzed the high frequency keywords, cited literatures with high frequency. The results show that the domestic medical image processing field has a high degree of attention to image segmentation, registration, and fusion. Deep learning, convolutional neural networks and transfer learning have been applied to medical image processing in recent years. This paper revealed domestic research trends in medical image processing, with a view to providing reference for research in medical image processing.

Study on subclinical hypothyroidism in pregnancy: a bibliometric analysis via CiteSpace

Background Subclinical hypothyroidism (SCH) in pregnancy has drawn an increasing amount of attention over the past two decades. However, the definition of it, including its clinical diagnosis and treatment, is still being revised. An increased risk of adverse pregnancy outcomes have been shown in most but not all studies. The objective of this study was to evaluate the origin, current trend and research hotspots on SCH in pregnancy. Methods We obtained 630 records with 12,033 references, published between 1999 and 2018, from the online version of SCI-Expanded, Thomson Reuters Web of Science. The CiteSpace 5.3.R4 was used to perform the cooperation network analysis, key words co-occurrence and burst detection analysis, and reference cocitation analysis. Results We identified that the number of publications on SCH in pregnancy was increasing over the past two decades. Teng WP and Shan ZY from the First Hospital of China Medical University, Shenyang, China, were found to be the most productive researchers in this field. USA was the leading country for publications. Subclinical hypothyroidism, pregnancy, hypothyroidism, dysfunction, disease, management, women, deficiency, association and hyperthyroidism were the top 10 high frequency keywords in all recruit documents. Follow up was the most strength burst key word in this field from 1999 through 2018, followed by maternal hypothyroxinemia, child, hypothyroidism complicating pregnancy, antithyroid antibody and fetal. Moreover, cocitation reference analysis revealed the top landmark articles and clusters in this field. Conclusion This study provides the trends and frontiers in the field of SCH in pregnancy and valuable information for endocrine and/or obstetric researchers to identify new perspectives on potential collaborators and cooperative countries.

Mapping child–computer interaction research through co-word analysis

Abstract This paper employs hierarchical clustering, strategic diagrams, and network analysis to construct an intellectual map of the Child–Computer Interaction research field (CCI) and to visualize the thematic landscape of this field using co-word analysis. This approach assumes that an article’s keywords constitute an adequate description of its content and reflect the topics that the article covers. It also assumes that the co-occurrence of two or more keywords within the same article indicates a linkage between those topics. This study quantifies the thematic landscape of the CCI field and elaborates on emerging topics as these are manifested in publications in the two primary venues of the CCI field, namely the proceedings of the annual IDC conference and the International Journal of CCI. Overall, a total of 1059 articles, and their respective 2445 unique, author-assigned keywords, are included in our analyses — all papers have been published between 2003 and 2018. The results indicate that the community has focused (i.e., high frequency keywords) in areas including Participatory Design, Tangibles, Design, Education, Coding, and Making. These areas also demonstrate a high degree of ”coreness” (i.e., connection with different topics) and ”constraint” (i.e., connection with otherwise isolated topics). The analysis also highlights well-structured yet peripheral topics, as well as topics that are either marginally interesting, or have the potential to become of major importance to the entire research network in the near future. Limitations of the approach and future work plans conclude the paper.

A Study on the Acceptation of Toni Morrison in the Past 30 Years in China

Toni Morrison, as a great classic in contemporary American literature for her profound studies of black ethnic history, ethnic culture, ethnic identity and black feminism has attracted wide attention in Chinese academic circles. Taking the academic papers about Morrison from CNKI as the data source, this study applies CiteSpace III, a visualization software, to conduct a visual map analysis through several indexes such as the authors, the institutions they come from and the high frequency keywords in their papers. Through the analysis of the prolific authors, the high-output institutions and the emerging hotspots in this field, the overall features of Toni Morrison-research among the past 30 years is revealed, the present research status of this subject in China is uncovered and future development trend is predicted. It’s hoped that this paper will comprehensively and profoundly display the historical context and current situation of Morrison’s research in China, help the researchers find and summarize the existing problems and shortcomings, and put forward constructive suggestions to promote a healthy and sustainable development of Morrison’s research.

Towards Sustainable Entrepreneurship Holistic Construct

In recent years, conducted businesses have been increasingly expected to obtain more sustainable forms, with many added determinants. Indeed, sustainability-related entrepreneurship still faces complex choices among conventional entrepreneurial factors, while being urged to consider three main pillars of sustainability. Thus, this work is focused on the development of sustainability-related entrepreneurship by reflecting the sustainable needs of entrepreneurship. Due to the fact that it is not clear for the sustainability-related entrepreneurship what the valuable and most influential factors stimming its development are, the detection of basic components and their correlation becomes a major motivation of this work. Therefore, this paper aims to conduct an attempt to identify a comprehensive set of SE (sustainable entrepreneurship) factors providing a structural overview in making insights into the factors/determinants of SE. It assists researchers and entrepreneurs in obtaining clear, informative pictures about SE factors. The applied research methodology is based on a systematic literature review which is conducted using the PRISMA methodology, simultaneously ensuring repetitiveness and lack of bias in this process. To retrieve and condense the immense amount of bibliographic information, a bibliometric analysis is adopted to perform in co-occurrence analysis of keywords determining SE factors and different detailed forms of distribution analysis. The expected outcome is to provide the classification schema of applied keywords in sustainable entrepreneurship literature as part of a comprehensive literature review, which is presented in order to uncover, classify and systematize the current research. As a result, a co-word matrix of high frequency keywords of SE factors is also established. It offers a feasible path of investigation for researchers aiming to build a consistent body of knowledge about sustainable entrepreneurship, by providing a conceptualization and systematization that can be applied across the many contexts in which sustainable entrepreneurship is expressed, for example, sustainable actions and sustainable development contexts. The present research aims to yield a successful attempt of identifying the comprehensive set of SE factors, as well as to establish a co-word matrix of high frequency keywords of SE factors. Providing a macroscopic overview of the main factors of SE in the form of conceptualization of the proposed construct will capture the unique organizational characteristics of sustainable enterprises and facilitate the research into capability building, innovation and competitive advantage in sustainable enterprises. It supports both researchers and entrepreneurs in shaping up and refining future research activities and investments in line with the policy of SE.

A co-word cluster analysis of cardiovascular disease nursing research hotspots

Objective To analyze the hotspots of disease related nursing research in Web of Science database from 2009 to 2019, and to understand the current situation and development trend of this field. Methods The Web of Science database was searched by topic cardiovascular disease, and high frequency key words were extracted from research literature. Results A total of 32 high frequency key words were extracted from the researched literatures, accounting for 26.22% of the total frequency. Based on co-word cluster analysis, the following 6 research hotspots were obtained: nurses and nursing practice, metabolic related health problems, disease management in patients, education and rehabilitation of patients with heart failure, risk and health promotion, blood pressure management and its influencing factors. Conclusions In recent 10 years, nursing research has focused on exploring the importance of nursing practice in health promotion, risk and disease management, providing a theoretical basis for expanding nursing practice and nursing research in the field of disease. Key words: Nursing; Cardiovascular disease; Co-word; Cluster analysis