Patterns In Scientific Literature Research Articles

Employee Recruitment, Selection, and Placement Processes: A Bibliometric Analysis

This study aims to analyze the process of recruitment, selection, and placement of employees in the company. Bibliometric analysis methods are used to measure, analyze, and understand patterns in scientific literature and scientific publications related to employee recruitment, selection, and placement. Through searching using the Publish or Perish tool, 984 articles were obtained selected according to research needs, starting from 2019 to 2023. The results of this study conclude the results that recruitment, selection, and placement of employees affect employee performance. Good and appropriate employee recruitment, selection, and placement processes can be applied to improve employee performance. The theoretical implication of this study lies in its use of bibliometric analysis methods to systematically assess the scientific literature on employee recruitment, selection, and placement. The study offers a comprehensive understanding of patterns and trends in relevant scholarly publications in recruitment and employee placement. The contribution of this research is evident in its conclusion that effective processes in recruitment, selection, and placement significantly impact employee performance, emphasizing the importance of implementing suitable strategies to enhance overall workforce effectiveness.

Responsiveness of the Immune System to Nanomedicine during Coronavirus Infections: Literature Review and Bibliometric Analysis

Abstract Objective Nanomedicine can play an important role in the various stages of prevention, diagnosis, treatment, vaccination, and research related to coronavirus disease 2019 (COVID-19). While nanomedicine is a powerful interdisciplinary means that offers various approaches in patient treatment, a number of factors should be critically studied to find approaches and mechanisms in the prevention, diagnosis, and treatment of this disease. This bibliometric analysis was designed to explore studies on the current knowledge of the structure, its mechanism of cell binding, and the therapeutic effect of nanomedicine on COVID-19. Materials and Methods The study data was searched from Web of Science Core Collection(WoSCC) between 2017 and 2021. Biblioshiny and VOSviewer were used to analyze and visualize patterns in scientific literature derived from WoS. Results The three clusters of keywords resulted relating to aim. Cluster 1 looking into epidemiological and public health studies on COVID-19. Cluster 2 included terms associated with virus transition, such as receptor binding, membrane glycoprotein, membrane fusion, and viral envelope proteins. Cluster 3 involved high-frequency keywords associated with nanomedicine, such as metal nanoparticles, drug delivery system doxorubicin, immunology, immune response, inflammation, and unclassified drug. Keywords such as “nanotechnology” and “gold nanoparticles” were at the center of COVID-19 related clusters, indicating the importance of these areas during the outbreak. Conclusions Understanding the advanced virology of coronaviruses and interfering with their spread through nanomedicine could significantly impact global health and economic stability. Continuous research is needed to accelerate the transfer of nanomedicine results into practice of treatment without risk of side effects.

Global Hotspots and Frontier Landscapes of DNA Methylation in Reproductive Medicine (1993-2020): A Scientometric Analysis

BACKGROUND: DNA methylation is a major epigenetic modification of genomes in mammals, involving the regulation of many cellular processes. Increasing study focus on the correlation between DNA methylation and reproductive medicine. Thus, it is meaningful to systematically review the latest knowledge domain and provide a hallmark of DNA methylation in reproductive medicine. This study aimed to quantitatively analyze the intellectual structure, hot topics and emerging trends of DNA methylation-related studies in reproductive medicine using visualization software. METHODS: In the present study, we perform a qualitatively and quantitatively evaluation on publications about DNA methylation in reproductive medicine, using a visual exploration tool CiteSpace, to identify emerging trends and transient patterns in scientific literature. RESCULTS: A total of 660 records relating DNA methylation in reproductive medicine were retrieved the Web of Science core collection from 1993 to 2020. The number of the annual publications gradually increased. CiteSpace 5.3 was used to comprehensively analyze the publication information. Fertility and Sterility published the highest number of studies on DNA methylation. Nature and New England Journal of Medicine ranked the first in the frequency and centrality of cited journal. Among countries, the United States was the publication leader, and the top institute was Chinese Academy of Sciences with the most productions. Haaf T was the most representative author. Gene expression, epigenetics, in vitro fertilization, assisted reproductive technology, fertilization, and beckwith Wiedemann syndrome were the hot spots, and endocrine disruptor, genome-wide analysis, and the safety of assisted reproductive technology represented research frontiers. CONCLUSION: Scientometric analysis identifies that DNA methylation is still a hot topic in reproductive medicine, and provides valuable information for researchers to identify new perspectives on potential collaborators and cooperative institutions and shape the future research directions.

Place Identity: How Far Have We Come in Exploring Its Meanings?

In order to synthesize the extensively studied place identities and their meanings, this paper reviews how researchers have conceived and deconstructed place identity. CiteSpace, a scientometric tool for visualizing and analyzing trends and patterns in scientific literature, is used to identify the active topics and new developments of publications in place identity. The data set input into CiteSpace consists of 1,011 bibliographic records retrieved from the core database of Web of Science with a title search of the articles published between 1985 and July 2019. The scientometric review reveals the extensive applications of place identity in various topics. Studies in this field experienced an active exploration in plural disciplines after 2000, and the hot area gradually concentrated on the discipline of humanities and social sciences after 2010 and shifted toward place marketing until now. A network of co-cited references identified seven dominant research clusters, of which the research on the influence of place identity on social actors’ attitudes and behaviors is most prominent and the research on the effects of physical environment change on place identity captures the latest emerging area. Versatile meanings of place identity are witnessed in different clusters and articles of a cluster. These meanings are intertwined in shaping the knowledge base of thematic concentrations. To supplement the scientometric analysis, a deep survey on measuring methods and roles of place identity in the contents of academic articles was done to trace knowledge connections between different empirical understandings of place identity. Finally, this paper summarizes the meanings of place identity in four dimensions and in turn offers some suggestions for further research directions.

The Fluid Aspect of the Mediterranean Diet in the Prevention and Management of Cardiovascular Disease and Diabetes: The Role of Polyphenol Content in Moderate Consumption of Wine and Olive Oil.

A growing interest has emerged in the beneficial effects of plant-based diets for the prevention of cardiovascular disease, diabetes and obesity. The Mediterranean diet, one of the most widely evaluated dietary patterns in scientific literature, includes in its nutrients two fluid foods: olive oil, as the main source of fats, and a low-to-moderate consumption of wine, mainly red, particularly during meals. Current mechanisms underlying the beneficial effects of the Mediterranean diet include a reduction in inflammatory and oxidative stress markers, improvement in lipid profile, insulin sensitivity and endothelial function, as well as antithrombotic properties. Most of these effects are attributable to bioactive ingredients including polyphenols, mono- and poly-unsaturated fatty acids. Polyphenols are a heterogeneous group of phytochemicals containing phenol rings. The principal classes of red wine polyphenols include flavonols (quercetin and myricetin), flavanols (catechin and epicatechin), anthocyanin and stilbenes (resveratrol). Olive oil has at least 30 phenolic compounds. Among them, the main are simple phenols (tyrosol and hydroxytyrosol), secoroids and lignans. The present narrative review focuses on phenols, part of red wine and virgin olive oil, discussing the evidence of their effects on lipids, blood pressure, atheromatous plaque and glucose metabolism.

Mediterranean diet and health status: Active ingredients and pharmacological mechanisms.

The Mediterranean diet (MedDiet) is one of the most widely described and evaluated dietary patterns in scientific literature. It is characterized by high intakes of vegetables, legumes, fruits, nuts, grains, fish, seafood, extra virgin olive oil, and a moderate intake of red wine. A large body of observational and experimental evidence suggests that higher adherence to the MedDiet is associated with lower risk of mortality, cardiovascular disease, metabolic disease, and cancer. Current mechanisms underlying the beneficial effects of the MedDiet include reduction of blood lipids, inflammatory and oxidative stress markers, improvement of insulin sensitivity, enhancement of endothelial function, and antithrombotic function. Most likely, these effects are attributable to bioactive ingredients such as polyphenols, monounsaturated and polyunsaturated fatty acids, or fibre. This review will focus on both established and less established mechanisms of action of biochemical compounds contained in a MedDiet. LINKED ARTICLES: This article is part of a themed section on The Pharmacology of Nutraceuticals. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v177.6/issuetoc.

Cross-boundary collaboration in waste management research: A network analysis

This paper aims to illustrate the cross-boundary research collaboration (CBRC) landscape of waste management (WM) by various collaboration networks. Through a set of rigorous procedures, a total of 15,396 research papers were extracted from eight subject-related journals published between 1981 and 2016. The authors utilized CiteSpace, a Java programme that helps visualize and dissect patterns in scientific literature, to evaluate the content through individual, institutional, national, and disciplinary perspectives. The evaluations of three former perspectives revealed a steady rise in CBRC within WM over the last thirty-five years, although the overall intensities proved fairly low. Inter-individual collaboration groups were limited to their respective regions and only loosely connected, but as more and more academic institutions and universities engaged in WM research, the number and quality of the collaborations increased. Developed countries, chiefly in North America and Western Europe, comprised the bulk of the WM research, whilst the mounting contributions from developing countries, China in particular, forecasts greater diversity in the future. The analysis also suggested that the intensity of the interdisciplinary collaboration network declined slightly, however, the intensity proved low to begin with. Previous WM research focused more on “hard” technologies than “soft” measures. Future endeavors to encourage CBRC in WM should promote more innovative research to tackle waste challenges globally in a sustainable way.

Computing the Extended Synthesis: Mapping the Dynamics and Conceptual Structure of the Evolvability Research Front.

Since the late 1970s, the field of evolutionary biology has undergone empirical and theoretical developments that have threaten the pillars of evolutionary theory. Some evolutionary biologists have recently argued that evolutionary biology is not experiencing a paradigm shift, but an expansion of the modern synthesis. Philosophers of biology focusing on scientific practices seem to agree with this pluralistic interpretation and have argued that evolutionary theory should rather be seen as an organized network of multiple problem agendas with diverse disciplinary contributors. In this paper, I apply a computational analysis to study the dynamics and conceptual structure of one of the main emerging problem agendas in evolutionary biology: evolvability. I have used CiteSpace, an application for visualizing and analyzing trends and patterns in scientific literature that applies cocitation analysis to identify scientific specialities. I analyze the main clusters of the evolvability cocitation network with the aim to identify the main research lines and the interdisciplinary relationships that structure this research front. I then compare these results with the existing classifications of evolvability concepts, and identify four main conceptual tensions within the definitions of evolvability. Finally, I argue that there is a lot of usefulness in the inconsistency in which the term evolvability is used in biological research. I claim that evolvability research has set up "trading zones" in biology that make possible interdisciplinary exchanges.

How many ways to use CiteSpace? A study of user interactive events over 14 months

Using visual analytic systems effectively may incur a steep learning curve for users, especially for those who have little prior knowledge of either using the tool or accomplishing analytic tasks. How do users deal with a steep learning curve over time? Are there particularly problematic aspects of an analytic process? In this article we investigate these questions through an integrative study of the use of CiteSpace—a visual analytic tool for finding trends and patterns in scientific literature. In particular, we analyze millions of interactive events in logs generated by users worldwide over a 14‐month period. The key findings are: (i) three levels of proficiency are identified, namely, level 1: low proficiency, level 2: intermediate proficiency, and level 3: high proficiency, and (ii) behavioral patterns at level 3 are resulted from a more engaging interaction with the system, involving a wider variety of events and being characterized by longer state transition paths, whereas behavioral patterns at levels 1 and 2 seem to focus on learning how to use the tool. This study contributes to the development and evaluation of visual analytic systems in realistic settings and provides a valuable addition to the study of interactive visual analytic processes.

Evaluation of the Performances of a Parallel Algorithm to Recognize the Patterns in Relation with the Sequential Variant

To achieve an algorithm to efficiently recognize the patterns to return the best solution, we need an intensive processing of the entrance set data. In most cases there is a compromise between the taking over of the entrance set data and the algorithm execution time. The intensive processing of the entrance set data needs rather high calculation resources which cannot always be obtained from the ordinary calculation systems. In this paper we suggest the parallelization of an algorithm to recognize the patterns in scientific literature, its parallelization and the evaluation of this variant in relation to the sequential algorithm. This algorithm will be tested using a cluster formed of 28 nods, each nod having 2 quad core 2.33GHz processors.

CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature

AbstractThis article describes the latest development of a generic approach to detecting and visualizing emerging trends and transient patterns in scientific literature. The work makes substantial theoretical and methodological contributions to progressive knowledge domain visualization. A specialty is conceptualized and visualized as a time‐variant duality between two fundamental concepts in information science: research fronts and intellectual bases. A research front is defined as an emergent and transient grouping of concepts and underlying research issues. The intellectual base of a research front is its citation and co‐citation footprint in scientific literature—an evolving network of scientific publications cited by research‐front concepts. Kleinberg's (2002) burst‐detection algorithm is adapted to identify emergent research‐front concepts. Freeman's (1979) betweenness centrality metric is used to highlight potential pivotal points of paradigm shift over time. Two complementary visualization views are designed and implemented: cluster views and time‐zone views. The contributions of the approach are that (a) the nature of an intellectual base is algorithmically and temporally identified by emergent research‐front terms, (b) the value of a co‐citation cluster is explicitly interpreted in terms of research‐front concepts, and (c) visually prominent and algorithmically detected pivotal points substantially reduce the complexity of a visualized network. The modeling and visualization process is implemented in CiteSpace II, a Java application, and applied to the analysis of two research fields: mass extinction (1981–2004) and terrorism (1990–2003). Prominent trends and pivotal points in visualized networks were verified in collaboration with domain experts, who are the authors of pivotal‐point articles. Practical implications of the work are discussed. A number of challenges and opportunities for future studies are identified.

Multiple citation patterns in scientific literature: The circle and hill models

The concept of tri-citation is introduced, as a logical extension of co-citation, and a geometrical model (the circle model) is devised to account for these and all other forms of multiple citation. The model is used to predict distances between documents which can be scaled metrically in two dimensional space. The model is also used to predict observed tri-citation frequencies among a set of six documents in particle physics. A further refinement of the model is suggested (the hill model) which promises to be more flexible. Implications of such spatial models for the representation of clusters of highly cited documents are discussed.