razieh farshid

The COVID-19 pandemic has presented the world with significant challenges. The infodemic surrounding this disease encompasses four main subject areas where people are seeking reliable information, but also encountering a significant amount of misinformation and rumors. These areas include: the cause and origin of the virus and disease; the signs and patterns of transmission; available treatments, prevention, and treatment options; and the effectiveness and impact of interventions by health authorities or other institutions. This also causes harm to the people in society and jeopardizes the stability of the global health system, making it challenging to address the epidemic. Access to a vast amount of false information about the Covid-19 virus can contribute to the spread of misunderstandings about the disease in society and negatively impact various aspects of people's lives, particularly their mental health. The public health crisis of the COVID-19 pandemic has been exacerbated by the effects of misinformation. In light of the spread of the coronavirus, false information has proliferated worldwide, making it challenging to discern between true and false information. The spread of fake news and dissemination of false information, much like the transmission of the coronavirus, can have far-reaching consequences on various aspects of people's lives. It can cause significant harm by perpetuating misunderstandings about the disease within society, and, conversely, contribute to the escalation of the epidemic. Considering the significant increase in research on Covid-19, it would be helpful for researchers to identify the subject areas, structure, and scientific map of articles related to the disease. This will allow them to gain a better understanding of the international subject areas and related issues in this field. Therefore, it seems necessary to expand and strengthen scientific and research studies in the field of the COVID-19 virus in order to reduce the risks and fully contain this disease. Therefore, the purpose of this study is to conduct a thematic analysis and examine scientific collaborations in research related to misinformation and disinformation in the field of Covid-19, based on studies from the Web of Science. 

The present study is a descriptive-analytical study with a scientometric approach. It utilizes the method of content analysis, hierarchical clustering techniques, strategic diagrams, co-authorship analysis, and social network analysis. The research focuses on articles related to misinformation and disinformation in the field of Covid-19. HistCite, Bibexcel, UCINET, and SPSS software are used for data analysis. 

Among the studies in this field, 3688 studies related to misinformation and disinformation in the field of Covid-19 were found. The keywords "social media," "vaccination," and "general health" ranked first, second, and third, respectively, with frequencies of 332, 158, and 145. On the other hand, topics such as "Covid-19 and social media" with 334 instances of co-occurrence have been assigned as study topics in this field. Additionally, the majority of works were published in 2021. Kumar S. has published the highest number of works among the authors, with 11 works. Godman B. and Haque M. are in second and third place, respectively, with 8 works each. America is in first place with 1068 works, while England and China are in second and third place with 476 and 323 works, respectively. Most of the studies have been published in English. "The International Journal of Environmental Research and Public Health" has the highest number of published studies among other publications, with 96 articles. "The Journal of Medical Internet Research" and "PLOS ONE" are ranked second and third, with 74 and 44 articles, respectively. Among the institutions, the "University of Oxford" is at the top with 49 works and holds the first place, while the "University of Toronto" and the "London School of Hygiene & Tropical Medicine" are in second and third place with 40 and 34 works, respectively. The results obtained from the hierarchical diagram form two clusters: the first cluster includes factors affecting the creation of misinformation and disinformation in the field of Covid-19, and the second cluster focuses on the effects of misinformation and disinformation in the same field. Clusters are present in the first and third regions. 

Understanding the findings of scientometric studies in strategic areas like the Covid-19 pandemic can greatly assist researchers and policymakers in the healthcare and treatment field in making informed decisions and developing effective solutions. It can also help in creating a knowledge map and conducting valuable studies. Analysis and comparison of studies related to misinformation and disinformation in the field of Covid-19 lead to a better understanding of current trends, gaps, and dominant discourse, with the aim of improving both the quantity and quality of information. The results of this study can also assist managers and policy makers in making more informed decisions.

The present research aims to study the status of publications and scientific collaboration and word co-occurrence networks in the field of psychology in Iran, focusing on the top 10 universities using the Scopus database.

The research method used is descriptive and based on a bibliometric study. A sample of 1968 documents in the field of psychology from 1969 to 2022 was examined. VOSviewer software was utilized to visualize bibliometric networks.

The results showed an increasing trend in the number of publications over time, with research articles having the highest number of publications, while review articles received the highest number of citations. University of Tehran, Kharazmi University, and Shahid Beheshti University were identified as the main centers for psychological research in Iran. The United States was considered the most important international collaborator. The author collaboration network consisted of professors, students, and graduates from the top 10 universities in Iran, as well as researchers from various countries, with Alireza Moradi and Nima Ghorbani being recognized as important individuals in the author network. The co-occurrence network of keywords revealed three main domains: effectiveness evaluation of interventions, personality and measurement of psychological aspect, and psychological pathology and mental health. The top five trending topics included procedures, treatment outcomes, post-traumatic stress disorder, psychology, and humans.

The results of this study indicate that the publications in the field of psychology in Iran in the international journals have achieved significant quantitative and qualitative growth. However, the role and importance of top universities in Iran in the dissemination of these publications is not uniform.

This study is a descriptive study with a scientometrics approach and the method of co-word analysis which analyzes scientific outputs in the field of the cross-diffusion predator prey model on the Web of Science from 1997 to September 11, 2022. In this research, to analyze the data, Hist-Cite, Excel, Bibexcel, and Gephi software and for drawing the maps, Vos viewer software is used. In the cross-diffusion predator prey model, we investigate the structure of productions such as publications, institutions, and researchers with the high productions and citations. Also, the co-occurrence analysis related to the mentioned topic and the cooperation of countries and authors and centrality measures are discussed. The results obtained from the data analysis show that among the published works, 305 research have been published. Among the countries and the authors, China with 226 works and M. S. Fu , M. X. Wang and L. N. Guin have with 17 works respectively. M. X. Wang also has the highest number of citations with 242 local citations and 817 global citations. The journal of Nonlinear Analysis Real World Applications has published with 23 works. Among the investigated topics in the predator prey model with cross diffusion, the concepts of pattern formation, Turing instability and stability were obtained with a frequency of 49, 63 and 40, respectively. In the following, the co-word analysis of studies in this field, 6 clusters of words and concepts were identified. The cooperation map of the countries also showed that among the countries in this field, China has the largest number of works and has the highest level of the communication with other countries. The authors’ cooperation map has formed 5 clusters. Meanwhile, L. N. Guin with 10 works and 7 connections and M. X. Wang with 7 works and 4 connections have the highest number of connections. Among the top authors in the world, in terms of degree centrality, closeness centrality, and betweenness centrality respectively, S. M. Fu, L. N. Guin and W. M. Wang are ranked first.

The purpose of this study is to identify and analyze the scientific products of various research areas of bibliotherapy indexed in the Web of Science database.

The present study is a descriptive study with scientometric approach and content analysis method and has been done by using co-word analysis techniques. Data analysis was performed with Histcite, Gephi, BIBexcel and SPSS software data Mapping was performed with Vos viewer software.

In the field of bibliotherapy, the highest number of productions belongs to 2016 with 59 works. Among the most frequent keywords in this field, bibliotherapy, self-help, depression with 246, 100 and 93, respectively. The rank of United States is first. The most active authors in the field of bibliotherapy Cuijpers P and Scogin F with 21 works have the most productions and Scogin F, Clum GA and Cuijpers P have the most influence in this field. The H index of this field is 74. It ranks first among the institutions of the University of Alabama.The Journal of Behavior Research and Treatment and the Journal of Clinical Counseling and Psychology are in the first place.

Coclusion:

 More than 75% of the products in this field are related to the fields of clinical psychology, psychology, multidisciplinary psychology, general medicine, and library and information science. The highest number of citations related to the field of bibliotherapy is to the two fields of clinical psychology and psychology.There is a significant difference between different domains and the number of productions and the number of citations.

Scientometrics is one of the most common tools for evaluating scientific publications. Traditional medicine is expanding day by day in developing countries as well as developed countries, and many researches have been done in the field of traditional medicine. The present study was conducted with the aim of analyzing the scientific publications of Iranian scientists in the field of traditional medicine.

The current research is of applied type and from the category of scientometric studies, which analyzed the scientific outputs of Iranian scientists in the field of traditional medicine. The research community included all the scientific outputs of Iranian scientists in the field of traditional medicine in the Web of Science database from the beginning to 2022. For data analysis, Heistsite, Excel, Babe Excel, and Gefi computing software were used, and for drawing maps, Voswe Oer software was used.

Among the topics, traditional medicine is ranked first with a frequency of 269. Among writers, Kamalinejad is at the top with 56 works. Among the institutions, Tehran University of Medical Sciences ranks first with 302 works. Among the journals, JOURNAL OF ETHNOPHARMACOLOGY has the most number of works with 73 works. Analysis of subject knowledge map shows the formation of 8 subject clusters. Also, the keyword traditional medicine has the highest frequency. The results obtained in the cooperation of institutions, there are 99 institutions that form seven clusters. In the analysis of countries' cooperation, 31 countries have formed 5 clusters. Iran and America are in cluster 2 and Italy in cluster 4. Also, the amount of cooperation is evenly scattered, but the highest amount of cooperation between Iran and Italy was with 28 ties and America with 26 ties. In the analysis of authors, 141 authors formed 11 clusters. Meanwhile, Kamali Nejad is placed in cluster one with 48 degrees and 37 links. The results obtained from the centrality of the authors indicate that among the authors of traditional medicine, Kamalinejad, Choupani and Haji Mehdipour respectively have the degree centrality, Hosseini, Iranshahi and Salehi have the highest closeness centrality, Kamalinejad, Naseri and Abdulahi also have the highest centrality respectively. They have intermediate centrality.

Scientific publications in the field of traditional medicine by Iranian scientists have undergone an upward growth trend in the last two decades and it is expected that this growth trend will continue. In the meantime, traditional medicine has been placed at the top of the subjects and is placed as a connecting subject between other subjects and is the connecting point of many subjects. Also, the studies related to the scientific productions of this field have investigated issues and topics related to traditional medicine. This research aims to provide knowledge while creating a comprehensive perspective for researchers in this field and help them in their research path.

The purpose of this study is to analyze and compare the concepts of media literacy and computer literacy based on the works indexed in the Web of Science .The present study is applied in terms of purpose and descriptive in terms of methodology with a scientometric approach in which network analysis techniques have been used. The research community of scientific products is related to the subject of media literacy and computer literacy.Findings indicate that 1736 works have been indexed in the field of media literacy and 772 works in the field of computer literacy. Fedro in the field of media literacy and Grasser AC have the most products in the field of computer literacy. Among the countries, the United States is in the first place in two areas, among which Iran with 11 works is in the position of 31 computer literacy and with 8 works is in the position of 19 media literacy. The co-occurence of media literacy works was 9 clusters and computer literacy works were 6 clusters. There are 327 common keywords in the thematic clusters of these two domains. Also, paying attention to the field of media literacy and computer literacy as one of the components of society can play an important role in the growth and promotion of individuals. In the analysis and results of the present study, suggestions were made for managers and politicians to better clarify the issues in this area and to invest better in its development.

The study identified the characteristics of scientific products in the field of the semantic web application. This purpose has been done by studying six databases including Magiran, Sid, Normagz, Civilica, Comprehensive portal of humanities, and Ganj.

This study is a descriptive study with a scientometric approach. purposive sampling and the techniques of co-occurrence and social network analysis have been used. Data analysis was done with Ravar Matrix software, Gefi, and data mapping was done with VosViewer software.

The frequency of scientific productions in the field of the semantic web application has been 188, among which the semantic web with a frequency of 23 is in the first place. The co-occurrence maps form eight thematic clusters. Data analysis among degree and betweenness centers showed that the semantic web and ontology, spatial database, and jurisprudence structures have the highest rate. Among the cooperation of universities, the University of Tehran has the most connections with other universities and research centers. The University of Tehran was ranked first. Islamic Azad University, Kerman Branch, Shahid Bahonar University of Kerman, and the Imam Reza International University of Mashhad are ranked first to third. The University of Tehran, Tarbiat Modares University, and the Malek Ashtar University of Technology have the highest degree of centrality of betweenness.

The Semantic Web is an interdisciplinary subject with many applications in all disciplines, and the results indicate its continuous growth status.

The aim of this study is investigated the harms on the production of science with the approach of oral history from the perspective of experts in the field of oral history.

 The present study was conducted using Delphi method using a researcher-made questionnaire. The statistical population includes 30 experts in the field of oral history who were selected by snowball sampling method, but only 17 people agreed to cooperate.

The analysis of the obtained data indicates that the lack of an academic position in the field of oral history in society, the lack of a purposeful principle on how to ask questions for information on oral history, the involvement of personal reasoning in interviews, the cost and time consuming nature of this process are among the most important challenges in producing science with an oral history approach from the point of view of experts in this field. These challenges and disadvantages cause damage in this area, such as the lack of uniformity in the work of oral historians, which leads to the loss of national capital, manpower time. Losing the opportunity to collect information from subjects due to old age; collecting incomplete or distorted data

 This study aimed to investigate the role and application of medical and health archives in scientific research based on research topics indexed in WOS.

 This study was a descriptive study with a scientometrics approach and the method of co-word analysis and hierarchical clustering and Strategic graph. The research population was scientific products related to medical and health archives. Data analysis was performed by HistCite, Bibexecl, UCINET, Excel and SPSS softwares.

 In the last three decades, 323 related studies were retrieved. The research dissemination has been increasing with an average annual growth rate of 34.87%. The United States and Univ Pittsburgh were ranked first in terms of publishing and citation rates. Iran ranks 14th with 7 researches. The field of GENERAL INTERNAL MEDICINE has had the largest share of 41 research among 88 participating research areas. The mortality keyword has the most frequency. Co-word clustering in medical archival research led to the formation of 7 clusters. Findings from the calculation of the density and centrality scores showed that "Cluster 3: smart Medicine" has the highest centrality and "Cluster 6: Open Data" have the highest density score.

 Medical archives play an important role in discovering the causes of mortality and subsequently reducing mortality, preventing diseases and their risks and prevalence, improving diagnoses, treatments, and ultimately improving the health system.

The porpuse of present study is to tracking the mission and position of the school library in upstream documents such as the Perspective Document of the Islamic Republic of Iran on the Horizon of 1404, the Constitution, the Sixth Five-Year Law on Economic, Social and Cultural Development of the Islamic Republic of Iran, the Document of the Scientific Comprehensive Map of the Country, the Document of the Cultural Engineering Map of the Country, the Document of the Fundamental Transformation of Education and National Curriculum.

This descriptive research was performed by documentary method and qualitative content analysis based on the missions of the school library from the perspective of IFLA in the upstream documents of the Islamic Republic of Iran. Maxqda software was used to analyze the data.

The objectives of school libraries were placed in three main cultural, technological and educational categories according to the 13 missions of the school library from the perspective of IFLA. Among the documents examined, the school library is mentioned directly four times. The perspective Document, the Sixth Development Plan, the Scientific Comprehensive Map of the Country, the Fundamental Transformation Document and National Curriculum on Culture, the Constitution, and the Cultural Engineering Map on Education have the most important goals related to the school library. The goals related to technology are also significant in the Perspective Document, the Sixth Development Plan and the Comprehensive Scientific Map of the Country.

The diversity of categories and themes identified in the three documents of the Country's Cultural Engineering Plan, the Document of Fundamental Transformation and the National Curriculum in relation to the mission of the school library, shows the high potential of the above three documents in guiding the mission and function of the school library. In the paragraphs related to the mission of the school library in the upstream documents, the school library is not directly mentioned, but many of these missions can be followed, realized and implemented by education and in particular school libraries. These libraries will be able to achieve the major scientific, educational, cultural and technological missions of the country, as well as other educational, social and cultural institutions of the country, provided that they have the necessary support such as receiving budget, facilities and equipment acting as powerful arms and prepare the ground for the growth and excellence of their users, first and foremost, the citizens of every society.

 The purpose of the present study is thematic analysis and scientific collaborations of research related to Covid 19 vaccine in Iran and the world based on scientific products indexed in Web of Science (WOS).

 The present study is a descriptive-analytical study with a scientometric approach and using the methods of content analysis and techniques of co-word analysis, hierarchical clustering, Strategic graph and social network analysis. The research population is scientific products related to Covid 19 vaccine in the world and in Iran. Data analysis was performed by HistCite, Bibexecl, Gephi and SPSS software; and the data mapping is done by VOSviewer.

 Between 2019 and 2021, 6005 related studies were retrieved. Unites states is followed by India and China, and the United Kingdom has the most Links. Iran’s rank is 10th with 196 studies. Hierarchical clustering in global research led to the formation of 3 clusters (vaccine development strategy, medical prevention and immunotherapy) and in Iranian research led to the formation of 4 clusters (immunotherapy, diagnosis and treatment cycle, medical prevention and immunology). From scientific collaborations at the country level in world and Iranian studies, 5 clusters were formed, at the level of institutions, 17 and 10 clusters, respectively, and at the level of researchers, 10 and 8 clusters, respectively.

 Analysis and comparison of world and Iranian studies leads to a better understanding of the prevailing currents, Gaps and discourse in order to increase the quantity and quality of studies, followed by controlling and the eradication of Covid 19 in the shortest possible time.

Co-word analysis is a tool for depicting the scientific structure of outputs. Therefore, the aim of this study was to evaluate the co-word analysis in nursing science by examining the keywords of Masterchr('39')s and Doctoral dissertations in the Faculty of Nursing and Midwifery of Shahid Beheshti University of Medical Sciences.

In this scientometric study used co-word analysis method, the research population included 473 masterchr('39')s and doctoral dissertations in the field of nursing in the Faculty of Nursing and Midwifery of Shahid Beheshti University of Medical Sciences. Data were analyzed using Ravar, Gephi, UCINET and SPSS.

The results showed that 902 keywords were used in the dissertations that the highest frequency of words in the nursing dissertations of Shahid Beheshti University of Medical Sciences was related to the nurse (117), neonate (58), quality (53), respectively. Results associated with hierarchical clustering by Ward’s method led to the formation of seven clusters in this field: "Nursing Management, Community Health Nursing, Neonatal Nursing, Neonatal Intensive Care Units, Nursing Research Methodology, Community Health Nursing" and "Nursing Emergencies" so that cluster 6 (Community Health Nursing) and cluster 1 (Nursing Management) had the highest and lowest centrality among different clusters, respectively. Moreover, cluster 7 (Nursing Emergencies) and cluster 6 (Community Health Nursing) had the highest and lowest density among other clusters, respectively.

In nursing research, the issues of quality, health and self-care play a central role, but the issues of stress, anxiety and mortality have not been considered in this field.

The purpose of this study is to assess the organizational entrepreneurial behavior of librarians in public libraries in Khuzestan province. The present research is of applied type and survey method. Its statistical population is all librarians of public libraries in Khuzestan province. The research tool is the standard questionnaire of Zampatkis and Mustakis version 2007. Finally, 114 completed questionnaires were analyzed using SPSS software. Findings showed that librarians of public libraries in Khuzestan province have entrepreneurial behavior. There is a significant relationship between the characteristics of entrepreneurial behavior of librarians in public libraries of Khuzestan province and their field of major. The existence of a significant key relationship between the field of major and entrepreneurial behavior of librarians is of added value for the librarianship profession and its professionals. Public libraries contribute to the advancement of technology-driven perspectives and the knowledge-based economy by providing programs to promote entrepreneurship and innovation and to become technology centers and create opportunities to encourage creative production. By embracing these roles and functions, libraries not only enable their users to participate in a knowledge-based society and economy, but also provide their services as a clear representation of the image of intelligence, creativity and competition. Attention to public libraries as one of the components of society and knowledge-based economy in the analysis and results of the present study, as well as the study of variables affecting entrepreneurial behavior are the innovations of this study.

Scientometric studies are one of the efficient methods of academic evaluation in authentic databases. Hierarchical clustering is also a useful instrument in providing an overview of a domain's research and understanding of its knowledge structure. Therefore, this study endeavored to explore the intellectual structure of gastric cancer domain studies.

This was carried out using co-word analysis and hierarchical clustering of scientometric methods with an analytical approach. Keywords of articles all indexed in Web of Science database in field of stomach cancer from 1979 to 2019, the study community was available. The population included 58,709 records indexed on the Web of Science database from 1979 to 2019 and included 207,625 keyword extractions. Data were analyzed through strategic and dendrogram chart.

Findings related to hierarchical clustering by ward method led to the formation of four clusters in this domain: Cell signsling in cancer, Oncogenes and cancer, roll of cell cycle and check points in cancer, Reasons and diagnosis cluster 2 (Oncogenes and cancer) has the highest concentration and cluster 1 (Cell signsling in cancer) has the lowest concentration among other clusters. Besides, cluster 1 (Cell signsling in cancer) has the highest density and cluster 2 (Oncogenes and cancer) has the lowest density among other clusters.

Hierarchical clustering has the potential of providing a clear image of the academic structure of gastric cancer domain studies. The results of the analysis of articles in the field of gastric cancer that led to the identification of underdeveloped areas can be an academic basis for future researchers.