Scientometric Research Research Articles

RELEVANCE OF THE CREATION OF THE NATIONAL INDEX OF CITATION OF SCIENTIFIC ARTICLES IN UZBEKISTAN

Manufacturing processes in the publishing industry have long gone digital. Today, it is natural that scientometric research and methods are almost entirely focused on the processing of data presented on the Internet. Provide the ability to conduct quantitative and qualitative analysis by comparing key indicators of bibliometric, altrometric and publishing activities for scientific publications, authors and organizations. To address this problem, the database, in addition to bibliographic information about articles and links, should include current verified and normalized information and constantly update it. From this point of view, the level of quality of scientific publications is determined by a number of criteria put forward by modern publishing practice and international standards of scientific periodicals. The article analyzes the relevance of creating a national index of citing scientific articles in Uzbekistan, taking into account the experience of developed countries.

Which aspects of the Open Science agenda are most relevant to scientometric research and publishing? An opinion paper

AbstractOpen Science is an umbrella term that encompasses many recommendations for possible changes in research practices, management, and publishing with the objective to increase transparency and accessibility. This has become an important science policy issue that all disciplines should consider. Many Open Science recommendations may be valuable for the further development of research and publishing, but not all are relevant to all fields. This opinion paper considers the aspects of Open Science that are most relevant for scientometricians, discussing how they can be usefully applied.

A Scientometrics Research on Physical Activity and Health RISKS of the Elderly

Purpose: With the deepening of global aging, how to control and prevent the health crisis of the elderly has become the focus of global attention. To address this problem, a large number of studies have been conducted around the world, and physical activity has been shown to be closely linked to health risks in the elderly. In order to sort out the results of many researches, this paper made a scientometrics analysis of the relevant researches in the past 10 years. This can not only systematically understand the current research trend, but also serve as a reference for subsequent research. Method: This study adopted scientometrics and visual analysis methods, thus CiteSpace Visualization based on Java programming was employed as the main tool of the study. Literature searched from Web of Science database from 2010 to present and was used to show the topic evolution of research related to the research topic after analysis. Results: According to the statistics on the time and quantity of the literature on physical activity and health risks of the elderly, it was found that the literature had a stable increasing trend from 2010 to 2012, from 2013 to 2015, from 2016 to 2018, and from 2019 to 2020. Through the analysis of the co-occurring map of institutions on physical activity for elderly, it was found that colleges and universities were the core in the institutions in this field. Geriatrics & Gerontology, Public Environmental & Occupational Health, General & Internal Medicine, Medicine, Nutrition & Dietetics and Physical provided basic for the researches on physical activity and health risks of elderly. The research hotspots were showed as physical activity, risk, risk factor, Older adult, elderly, exercise, mortality, health, prevalence, association. This indicated that the researches on physical activity and health risk of the elderly at this stage mainly focused on the health and physique of the elderly. In the second stage, there were abundant experimental studies on the physical function of the elderly, the physiological dimension of different types of senile chronic diseases, and the risk factors of disease prevention. In the third stage, the researches on the elderly personal health behavior and lifestyle, social support and health promotion began to be prominent. Conclusion: This paper took Web of Science as the data source and used CiteSpace, a scientific measurement tool, to draw the knowledge map of physical activity and health risks of the elderly scientifically and rigorously, and systematically analyzes the basic characteristics, research hotspots and topic evolution of this research field. However, there are still some limitations in the time period, database and search scope of the research results, which we hope can be solved in the follow-up research.

Curcuma Longa (Medicinal Plant) Research: A Scientometric Assessment of Global Publications Output with Reference to Web of Science

The present study explores the characteristics of publication records for a total duration of twenty years, from 2000 to 2019, in the field of Curcuma longa research. This study has been carried out based on the multidisciplinary bibliographic database available with the Web of Science in Science Citation Index-Expanded (SCIE) and Social Sciences Citation Index (SSCI) and its implications, using the means of scientometrics research techniques. In order to make this analysis a holistic and comprehensive survey of the research trends in the chosen field, the following variables are taken into account: growth rate; global citation scores; distribution of publications by journals, conferences and institutions; favored media of communication; Hirsch index and citation profile of top institutions, countries and authors; contribution of funding agencies; high number of cited papers and characteristics of their bibliographic details. The total number of publication records has been found out to be 6087 during the study period. These 6087 publications have received 171 h-index, 1, 84,715 global citations score and 30.34 average citations. On the whole, 6087 records were published during the study period (2000-2019) in 18 types of documents from 107 countries with 2005 journals, contributed by as many as 20855 authors affiliated to 4879 institutions. These publications were brought out in 18 languages, and they received 1, 56,986 cited references. Majority of the records were in the form of journal articles, reviews, papers in conference proceedings and meeting abstracts, accounting for 97 percent of the total publications. Naturally enough, English happens to be the leading language of 98.8 percent to have accounted for the most number of publications. The four largest contributing countries in the total literature on Curcuma longa during the entire study period are India (24.68 percent), USA (17.7 percent), China (12.2 percent) and Iran (6.09 percent) respectively. The largest institutional contributor of publication records happens to be the Mashhad University of Medical Sciences, Mashhad, Iran with 1.8 percent of the papers to its credit. The most prolific authors to have published more number of research documents during the study period were Sahebkar A (73 papers), Aggarwal BB (67 papers), Nayak S (35 papers) and Kumar A (33 papers). The journal of “Food chemistry” Elsevier ltd tops the list of journals with maximum number of publication records in the field for the given study period with 70 publications, followed by “Journal of Agricultural and Food Chemistry” American Chemical Society (69 papers), “Phytotherapy Research” John Wiley and sons Ltd (63 papers) and “PLOS One” Public Library of Science (59 papers). While the Third World Congress on Medicinal and Aromatic Plants - WOCMAP III held in February 2003 at Thailand resulted in the publication of 6 papers, the following three major funding agencies contributed immensely to the research activities in the field: ‘National Natural Science Foundation of China’ with 318papers, United States Department of Health & Human Services, USA with 304 papers and Council of Scientific Industrial Research, India with 99 papers.

Management problems of an interdisciplinary research center

The practice of creating interdisciplinary, multidisciplinary research centers in Russia is caused by the need to implement interdisciplinary projects in accordance with the objectives of the Strategy of scientific and technological development and priority directions of science development in the Russian Federation. However, the development of complex research within a single institution faces a number of problems related to the management of the multidisciplinary center, the system of evaluation of research efficiency in separate divisions of the center, funding of individual research areas, creation of a comfortable psychologicalclimate that promotes the performance and effective completion of interdisciplinary projects, creation of an effective stimulation system, aimed not only at increasing the publication activity of researchers, but also to produce world-class results that require in-depth, focused work. The problems of creating an effective management system focused on ensuring maximum creative freedom of a scientist and reducing bureaucratic pressure on a researcher and creating a comfortable psychological climate in an interdisciplinary research center depend mainly on the head of the organization and his management apparatus. The development of scientometric system of comparative rating of the effectiveness of scientific teams within separated units, the creation of a differentiated system of motivation of scientists, aimed not only at increasing the publication activity, but also to obtain breakthrough scientific results requires the involvement of a serious scientific approach, despite the fact that scientometric research is not among the prestigious and attractive scientific directions, but at the same time it causes a high critical reaction from officials and scientists of all scientific fields.

The Implications and Effects of Medical Waste on Development of Sustainable Society—A Brief Review of the Literature

The sustainable development of humanity imposes precise norms regarding the management of natural resources, their extraction, use, and the introduction in a complex, innovative circuit of the waste resulting from exploitation. The paper deals with some aspects related to the sustainable management of general medical waste on the one hand and the medical waste specific to the COVID-19 pandemic, on the other hand. Medical waste requires special treatment given its impact on the environment and on humanity. The management of activities related to its storage, transport, destruction is an important point in the sustainable development of mankind, especially in the current context of the pandemic. Medical waste is in a continuous increase in quantity and involves many effects in various activity fields. Through a scientometric study in the Web of Science—WOS database, the authors identify clusters of keywords, analyze the articles identified in the WOS and identify the main research directions and existing concepts. Corroborating and interpreting the results obtained, three significant trends of approach to medical waste are identified: M—management (1); E—exposure (2); and D—distribution (3). An extensive map of the concepts is made, a narrow map of the concepts used, and a theoretical map of the concepts. The link between medical waste and the development of a sustainable society is demonstrated, and it is possible to open new research directions. The scientometric research undertaken on 1192 WOS articles that were published in 2020 led to the selection of 32, focused on issues related to hazardous medical waste, especially of COVID-19 patients. Following this approach, the authors were able to see, by comparison, the different forms of management of this waste in different countries, thus being able to contribute to the creation of procedures for the collection, storage, and destruction of this hazardous waste, with direct influence on the environment.

Trends and developments in oral health literacy: a scientometric research study (1991\u20132020)

ObjectiveThis study aimed to establish the current situation, intellectual base, hotspots, development trends, and frontiers of oral health literacy (OHL) from the literature.MethodsWe analyzed 1505 bibliographic records dated between January 1990 and December 2020 retrieved from the Web of Science Core Collection and the Scopus database. We used CiteSpace for word frequency analysis, co-occurrence analysis, co-citation analysis, clustering analysis, and burst analysis.ResultsThe total number of publications increased year-on-year, with the majority of publications coming from the USA. Most studies focused on the relationship between (oral) health literacy and oral health, and the development of OHL instruments. The top 10 keywords by frequency were “health literacy”, “oral health”, “attitude to health”, “dental caries”, “adult”, “children”, “dental care”, “knowledge”, “questionnaire”, and “adolescent”. The keyword with the highest burst intensity was “dental health education”.ConclusionsOHL research is a thriving field. The field is focused on the development of an OHL instrument and health promotion practice. Strategic cooperation among countries, institutions, authors, hospitals, and communities will be important to encourage further OHL research and address oral health problems.

Trends in the Use of Sphingosine 1 Phosphate in Age-Related Diseases: A Scientometric Research Study (1992-2020).

Objectives This study was designed to explore the intellectual landscape of research into the application of sphingosine 1 phosphate (S1P) in age-related diseases and to identify thematic development trends and research frontiers in this area. Methods Scientometric research was conducted by analyzing bibliographic records retrieved from the Web of Science (WOS) Sci-Expanded Database dated between 1900 and 2020. Countries, institutions, authors, keyword occurrence analysis, and cooperation network analysis were performed using the CiteSpace and VOSviewer software. Results A total of 348 valid records were included in the final dataset, and the number of publications and the frequency of citations have grown rapidly over the last ten years. The USA (n = 175), China (n = 42), and Germany (n = 37) were the three largest contributors to the global publications on S1P and aging, while the Medical University of South Carolina (n = 15), University of California, San Francisco (n = 13), and University of Toronto (n = 13) were the leading institutions in this field. Analysis showed that early studies primarily focused on the mechanism of S1P intervention in AD. While S1P and its relevant metabolites have remained a long-term active area of research, recent studies have focused more on interventions aimed at improving retinal degeneration, cardiomyopathy, multiple sclerosis, and diabetes, among others. Conclusions It is worth mentioning that this manuscript is the first to describe any bibliometric analysis of S1P and its application in age-related interventions. This study includes a discussion of the (1) historical overview of the topic; (2) main contributors: journals, countries, institutes, funding agencies, and authors; (3) collaboration between institutes and authors; (4) research hot spots and zones; and 5) research trends and frontiers. This will enable scholars to understand the current status of S1P research in age-related diseases.

Characteristics of high research performance authors in the field of library and information science and those of their articles

This study investigated the characteristics of articles by high research performance authors in the field of library and information science (LIS) by comparing the articles by two control groups of highly cited authors and prolific authors. The comparison was conducted on the basis of the articles indexed by Web of Science between 2009 and 2013 and their citation counts as of August 2019. Research results suggested that both high research performance authors and highly cited authors produced a significantly higher percentage of coauthored articles than prolific authors did. Moreover, they published a higher percentage of international collaborative articles in Q1 journals. Most high research performance researchers conducted scientometric research, whereas most highly cited researchers worked in the domain of management and computer science expertise and published their research results in journals relevant to their field. Additionally, prolific researchers mostly preferred to publish articles in LIS journals, whereas highly cited researchers tended to publish more articles in non-LIS journals. Prolific authors did not adopt coauthorship to improve productivity but targeted non-Q1 journals with higher rates of acceptance. Academic age was not a determining factor for distinguishing research performance among all three groups of researchers. Each group of researchers comprised both junior and senior researchers.

What is the impact of research with Morus nigra? – A scientometric study

Mulberry (Morus spp.) is an evergreen tree belonging to the Moraceae family. The genus Morus has numerous described species, including Morus nigra, an important plant in agriculture and traditional cultures. The objective of this study was to conduct a scientometric research on the species M. nigra. Bibliographic data was been obtained from the Web of Science database considering two times periods. These analyzes showed that research involving M. nigra is concentrated in the areas of nutrition, pharmacology and agronomy science. Eastern countries and Brazil are the largest producers of knowledge about M. nigra. The research has shown different interests in recent decades, showing that the scientific knowledge produced about the species is associated with the objective for which the plant was used throughout history. There is a trend in the growth of publications focused on the potential antioxidant of M. nigra products. The articles had a greater impact factor in the past, however, a significant growth trend in research with M. nigra in the last three years, also suggested by the increase in the number of publications in the period. Understanding the publication standards assist in directing future research as well as in understanding the current panorama of research associated with the species.

A structured literature review of scientometric research of the knowledge management discipline: a 2021 update

PurposeThe purpose of this study is to conduct a structured literature review of scientometric research of the knowledge management (KM) discipline for the 2012–2019 time period.Design/methodology/approachA total of 175 scientometric studies of the KM discipline were identified and analyzed.FindingsScientometric KM research has entered the maturity stage: its volume has been growing, reaching six publications per month in 2019. Scientometric KM research has become highly specialized, which explains many inconsistent findings, and the interests of scientometric KM researchers and their preferred inquiry methods have changed over time. There is a dangerous trend toward a monopoly of the scholarly publishing market which affects researchers’ behavior. To create a list of keywords for database searches, scientometric KM scholars should rely on the formal KM keyword classification schemes, and KM-centric peer-reviewed journals should continue welcoming manuscripts on scientometric topics.Practical implicationsStakeholders should realize that the KM discipline may successfully exist as a cluster of divergent schools of thought under an overarching KM umbrella and that the notion of intradisciplinary cohesion and consistency should be abandoned. Journal of Knowledge Management is unanimously recognized as a leading KM journal, but KM researchers should not limit their focus to the body of knowledge documented in the KM-centric publication forums. The top six most productive countries are the USA, the UK, Taiwan, Canada, Australia and China. There is a need for knowledge brokers that may deliver the KM academic body of knowledge to practitioners.Originality/valueThis is the most comprehensive, up-to-date analysis of the KM discipline.

Will collaborators make scientists move? A Generalized Propensity Score analysis

Through collaboration, scientists’ human and social capital are accumulated that are considered important in the academic job market. However, little is known about whether academic past collaboration influence scientists’ mobility. To deal with treatment endogeneity, we conduct a Generalized Propensity Score analysis (GPS) and apply a novel application of the Dose-Response Function model. Using the data on 15,968 Chinese scientists from 2000 to 2012 as an illustrative case, we find that 1) the number of domestic and overseas collaborators are positively associated with scientists’ mobility and upward move, while the magnitude of the effect of overseas collaborators is far smaller than that of domestic collaborators; 2) domestic collaborators’ productivity is positively related to scientists’ move and upward move; 3) there is a stronger effect of collaborators from higher-tier universities on scientists’ upward move; 4) we do not observe a significant relationship between the recent stock of collaborators and scientists’ mobility. In addition to implications for talent policies and scientists’ career development, this study makes significant methodological contributions through introducing a new method, GPS, to address selection bias of the independent variable, i.e., scientists’ collaboration. Our results show that, with great potential to capture causality, GPS facilitates research in informetrics, scientometrics and science policy from a quantitative perspective, and enriches policy relevance of the findings.

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.

Scientometric and patent research of technological trends in the agricultural sphere using “Web of science” and “Derwent innovation” platforms

The main results of scientometric and patent research are described. This results are aimed at establishing the most promising and moderately promising technological directions for making forecasts for 2021–2030. Forecasts are necessary for Ukraine to achieve Sustainable Development Goal 2 “Overcome hunger, agricultural development” and its national goal “2.2 To double agricultural productivity, primarily through the use of innovative technologies”. The research was carried out using the international platforms “Web of Science” (WoS) and “Derwent Innovation”. The period under study is defined as 2011–2018. The results of a scientometric analysis of world and domestic publication activity and the dynamics of citations are presented. According to the growth rate of the number of citations (2018/2014, %) and keywords, the top-5 technological directions in the agricultural sector were identified. Using the international database “Derwent Innovation”, based on the codes of the International Patent Classification, the dynamics of patenting has been investigated and the growth rates of the number of patents in the world (2018/2014, %) have been determined. The study of a selected array of patents was carried out on key words/ technological areas related to global technological trends in the agricultural sector. A selection of technological areas with a high rate of patent activity was carried out, which are grouped and presented on four landscape maps. In order to compare the results of scientometric and patent analysis, a summary table has been developed, on the basis of which the most promising and moderately promising technological directions for further predictive research have been determined.

A look at modern education and scientometrics through the prism of information economy and science development

In the conditions of informatization of society and the information economy, there is a need for objective quantitative and qualitative assessment of research activities of scientists and organizations, including in the sphere of education involving scientific discipline of scientometrics. The article substantiates the feasibility of conducting scientometric research, shows the methodology for evaluating its effectiveness and realization of scientific potential in the context of an increase in information flows, development of science and modern education, as well as presents existing methods of scientometric research and scientometric indicators used in the world practice in the perspective of information competence and informatization of education.

Similarity indexes for scientometric research: A comparative analysis

A significant number of papers in the field of scientometrics addressed the comparisons of various similarity indexes. However, there is still a debate on the appropriateness of an index compared to others, beacause of the assessment differences reported in the literature. The objective of this paper is to make a comparative analysis of the five most used similarity indexes for the three scientometric analysis types: co-word, co-citation and co-authorship. A total of 388 papers addressing similarity indexes in scientometric analysis over three decades were retrieved from the Web of Science and examined; of which 49 were retained as the most relevant according to selective criteria. The approach consisted of building cross matrices for the five indexes (Jaccard, Dice-Sorensson, Salton, Pearson, and Association Strength) for the three types of scientometric analysis. For each of these analyses, a distinction is made between papers according to their theoretical or empirical results. Furthermore, papers are classified according to the mathematical formula of the similarity index being used (vector vs non vector). In the 49 relevant papers being selected, the comparative analysis showed that there is still no consensus on the appropriateness of an index for co-word and co-authorship analyses, while for co-citation, Salton is the widely preferred one. The Association Strength is the less covered and compared to other indexes for the three analysis types. An open source computer program was developed as a tool to facilitate empirical comparative studies of indexes. It allows generating normalized matrix of any chosen index for the two mathematical variants.

DEVELOPMENT OF A MODIFIED WINNOWING METHOD FOR AGGREGATING BIBLIOGRAPHIC INFORMATION DATA FROM CITATION SYSTEMS UNDER THE CONDITIONS OF INCOMPLETE INFORMATION

Currently, transition to the electronic presentation of bibliographic information about scientific works has caused an increased interest in scientometric research. At the same time, the existing sci-entometric methods are criticized by scientists, since the incomplete bibliographic base and tools for its assessment do not allow the most accurate assessment of the contribution of scientific work. The problem of the quality of scientometric assessments, as a rule, is based on the study of the data of a certain citation system, which does not include complete information about all publications of the authors contained in other citation systems. Aim. This study is aimed at developing an adaptive ap-proach for the formation of aggregated data of bibliographic information of a scientific organiza-tion in conditions of incomplete information from the citation systems of the RSCI, “Google Aca-demy” and Scopus. Methods. The definition of the aggregated list of publications for the analysis of scientometric indicators was carried out by the Winnowing method, the Levenshtein algorithm, the shingle method and the Jaro–Winkler method. In the framework of the experimental study, the effectiveness of the application of the considered methods for aggregating information from cita-tion systems was assessed based on the analysis of accuracy, completeness and F-measure. Results. Expe¬riments on test data from the list of publications by authors of the Orenburg State University from the citation systems RSCI, Google Academy and Scopus showed that the Winnowing method formed the most accurate lists of publications by the F-measure criterion. To improve the perfor-mance of this algorithm, a two-stage optimization of the aggregation process was carried out, which made it possible to improve the running time of the algorithm when generating a list of bibliographic descriptions. Conclusion. The proposed approach for the formation of aggregated data of biblio-graphic information of a scientific organization in conditions of incomplete information from the ci-tation systems of the Russian Science Citation Index, Google Academy and Scopus allows increas-ing productivity in the formation of a list of authors' publications and shows good efficiency in de-termining the scientometric characteristics of authors.

An overview of scientometric mapping for the safety science community: Methods, tools, and framework

Scientometrics analysis is increasingly applied across scientific domains to gain quantitative insights in the development of research on particular (sub-)domains of scientific inquiry. By visualizing metrics containing quantitative information about such a domain, scientometric mapping allows researchers to gain insights in aspects thereof. Methods have been developed to answer specific research questions, focusing e.g. on collaboration networks, thematic research clusters, historic evolution patterns, and trends in topics addressed. Several articles applying scientometric mapping to safety-related topics have been published. In context of the Special Issue ‘Mapping Safety Science – Reviewing Safety Research’, this article first reviews these, and subsequently provides an overview of key concepts, methods, and tools for scientometric mapping. Data sources and freely available tools are introduced, focusing on which research questions these are suited to answer. A brief tutorial-style description of a scientometrics research process is provided, guiding researchers new to this method how to engage with it. Finally, a discussion on best practices in scientometric mapping research is made, focusing on how to obtain reliable and valid results, and how to use the scientometric maps to gain meaningful insights. It is hoped that this work can advance the application of scientometric research within the safety science community.

Аспектный анализ данных систематизации документного фонда библиотек и научный ландшафт

The paper discusses the method of aspect analysis of classification indexes of the document collection of libraries. The method allows you to establish links between the Sciences and information flows between them, which determines the landscape of scientific knowledge. The object of analysis is a set of composite classification indexes containing pointers to relevant areas of knowledge as aspects. The proposed approach can be used in scientometric research.

Survey of Medical Ethics Research with the Science Drawing Method

The advancement of human knowledge in the field of medical science has brought activists to the field with new ethical issues. addressing medical ethical issues is one of the essential requirements in the health system. at present, the evaluation of science production can provide a clear picture of the growth, progress and important issues of a scientific field. in this study, we aimed to identify important areas of research in the field of medical ethics through a scientometric study. This is a scientometrics research using one of the most important techniques of this method, namely, the drawing of science. the statistical population of the study consisted of 3333 scientific papers indexed in the WOS database by the end of 2019. a researcher-made checklist was used for data collection and Ravar-matrix and ucinet6 software were used for data analysis. The results showed that the amount of scientific output in the field of medical ethics is 3333, starting with 1946 with two documents and reaching 2019 with 104 documents. the average annual growth rate is 21.03%. the world of medical ethics consists of 9 clusters worldwide and the concepts of bioethics, ethical counseling, education, medical education and autonomy have been the most commonly used keywords in medical ethics research, respectively. Iranian products in this field also consist of 6 clusters which are the key concepts in medical ethics, bioethics, ethics committee, strategic planning and medical education.