نشریه علم سنجی کاسپین
سال یازدهم شماره 2 (پاییز و زمستان 1403)

Open Government Data is essential for today's civil society. The aim of this article is scientometric analysis of political documents based on open government data in Overton database.

This applied research was conducted based on scientometric indices and content analysis. Data from 2007 to 2023 were extracted from the Overton database. The research community includes 2493 documents related to open government data. The data were analyzed using Chi-square, Spearman's correlation coefficient, and Mann–Whitney U tests. Data analysis was conducted using SPSS Statistics 24.

The Organization for Economic Cooperation and Development (OECD), with 514 citations, and the Guardian News Agency, with 291 citations, stand out as the most effective organizations and news agencies in the present research. Furthermore, a notable positive correlation exists between GDP and the quantity of government documents concerning open government data at the national level. Additionally, a significant positive yet weak correlation exists between SJR and the number of citations obtained from government documents.

In recent years, there has been a significant increase in government publications on open government data. This is in line with the global open government paradigm. The results showed that human activities, economy, technology, innovation, and governance have had the most significant impact on issues related to government documents published as open government data.

Considering the increasing demand and costs of health care, it is necessary to know the practical aspects of digital health as a new field in service provision and doctor-patient interaction. The aim of the present study was to analyze the applications of digital health in Iran with a scientometric approach.

The current study is an applied research in terms of objectives, descriptive in terms of data collection method, and was carried out with an scientometric approach. All publications in the field of digital health in PubMed, Web of Science, Scopus and IEEE Xplore databases were retrieved by searching and extracting words according to medical subject headings and authoritative texts within target years. The VOSviewer and HistCite softwares were used to draw the word co-occurrence map.

The results of this study showed that the annual increase in digital health studies has occurred from 2012 to 2022. The highest frequency of vocabulary was observed in machine learning (33 cases), and mobile health (24 cases), and the lowest was observed in gamification and robotics (2 cases). In addition, the scientific map showed that out of 198 nodes, the four main clusters in the field of digital health in Iran, including deep learning, mobile-based programs, humans, virtual reality and artificial intelligence, have been considered more, and in areas such as COVID-19, pregnancy and other subcategories, mobile phone-based programs have been developed.

Analysis of the applications of digital health in Iran showed that although some topics such as deep learning and virtual reality have emerged, providing appropriate infrastructure, training different groups of users, and making a favorable transformation in the field of health and treatment are highly significant, which should be taken into account by managers and policymakers.

Nowadays, secondary school libraries have many deficiencies and one of the solutions to this problem is the partnership of public libraries with schools. This study was conducted with aim of assessing feasibility of cooperation between Libraries, Museums and Documentation Center of Astan Quds Razavi and school libraries in meeting information needs of secondary schools for boys in Mashhad.

This study was applied in terms of purpose and survey in terms of type of data collection. Data collection tool included a researcher-made questionnaire. Reliability of questionnaire was evaluated using Cronbach's alpha. The alpha coefficient obtained was higher than 0.8. The statistical population includes employees who are engaged in the librarianship profession in central library of Astan Quds Razavi and 16 libraries affiliated with this organization in Mashhad. Sampling was carried out using a stratified random method and 194 people were selected as sample population. In descriptive statistics section, mean and standard deviation were used, and in inferential statistics section, Kolmogorov-Smirnov tests, one-sample t-test, and analysis of variance tests were used. Data obtained from questionnaire were analyzed using SPSS 16 statistical software with significance level of less than 0.05.

From librarians' perspective, most important obstacles to cooperation between secondary school libraries and libraries of Astan Quds Razavi are lack of familiarity with how to use library and incompatibility of library collection with information needs of students with a mean of 3.13. Also, considering the mean value (3.13±0.38), it can be concluded that the organization's situation is a favorable position in terms of confronting barriers to participation.

The organization's situation is in a favorable position in terms of prerequisites for cooperation, confronting barriers to cooperation, and responding to students' needs.

Given the increasing number of studies on Drought Vulnerability Assessment (DVA), conducting a comprehensive scientometric analysis of scientific results in this field can aid in understanding the current status, trends, and impacts of research.

To create a scientific map of this domain, a total of 1,131 articles from the Scopus database, published from 1990 to 2023, were collected. Scientometric techniques, such as co-authorship networks and co-occurrence networks of keywords, were employed for data analysis. Key indicators, including h-index, citation counts, and journal impact factors, were calculated to assess the visibility and influence of studies. Statistical analyses were performed using R software and VOSviewer.

Results indicated that the growth rate of publications in DVA is approximately 16.5%, with notable increases in both the quality and citation rates of articles over the years. The scientific mapping analysis identified a six-cluster pattern, with the keyword "adaptation and vulnerability management" being the most frequently mentioned. The thematic evolution of studies also showed that in recent years, attention to adaptation issues in drought vulnerability assessment has increased, and a significant relationship was observed between the number of documents and citations (r=0.89) and between the number of authors and citations (r=0.17).

Global attention to DVA has significantly risen in recent years, with countries such as the United States, China, and Australia leading the efforts. Furthermore, adaptation management has emerged as the most important research area, while emerging methods and techniques in vulnerability assessment are expected to lead to greater diversity and consensus in this field.

The internet has provided marketers with a new path for greater creativity, resulting in increased transparency in marketing. The expansion of digital media platforms and the commercial use of the internet have transformed the business landscape. The present study aims to conduct a scientometric analysis of scholarly publications in the field of digital marketing from Web of Science database.

The present study is a descriptive-analytical and applied research conducted using a scientometric approach. The study population includes studies conducted in the field of digital marketing in the Web of Science database (1980-2024). Excel and RStudio software were used to analyze data and draw scientific maps.

The content analysis roadmap of studies on digital marketing reveals the following: In the first quartile, the topics "Digital Marketing, Social Media, and COVID-19" and "Social Media Marketing, Consumer Behavior, and Credit" show the highest levels of development and relevance. The second quartile includes "Social Media", indicating subjects exclusive to this domain. Additionally, the cluster "Marketing and E-commerce" overlaps with the fourth quartile. In the third quartile, the cluster "Artificial Intelligence and Machine Learning" is found, exhibiting the lowest levels of development and relevance, thus considered underdeveloped and immature. Moreover, the cluster "Tourism and Technology" shares commonalities with the fourth quartile. Finally, in the fourth quartile, the cluster "Online Marketing" represents fundamental topics in the field.

The studies primarily focus on thematic areas such as social media, social networks, digital marketing, e-commerce, business intelligence, customer relationship management, machine learning, digital strategy, influencer marketing, social media engagement, interactive advertising, and communication networks.

Payame Noor University of Iran plays an important role in the production of Iranian science in various scientific fields by taking advantage of the existing capacities and conducting various studies. Therefore, the present study deals with scientific productions related to the medical sciences of Payame Noor University.

This descriptive study was conducted with a bibliometric approach. The statistical population of the study included all the scientific documents produced by Payame Noor University in the PubMed medical database until March 27, 2024. To analyze the data and draw scientific maps, the bibliometrics package was used in the R programming language.

A total of 1,947 relevant papers published since 2001 were retrieved. The words "Humans", "Animals", and "Female" are the most important keywords in scientific productions related to medical sciences at Payam Noor University. Chemistry, biology and biochemistry departments of Payam Noor University had the highest number of scientific productions. With 60 articles, betweenness centrality 45.22, closeness centrality 0.0057 and page rank 0.0488, Vesali has been the most prolific author in this field. Statistical analysis has shown that there is a weak correlation between the number of articles and betweenness centrality (p=0.195). Also, there was no significant correlation between the number of articles and closeness centrality (p=0.050). However, there is a significant correlation between the number of articles and page rank (p=0.472). The subject areas of the scientific productions of this university are classified into two main subjects of biomedical studies and studies related to the fields of chemistry and associated factors.

Focusing on the fields of chemistry, biology, and biochemistry, Payame Noor University has had the most scientific productions related to medical sciences. Furthermore, the topics of detection limit, spectroscopy, Fourier transform infrared spectroscopy, and hydrogen ion concentration are among the leading topics in the scientific productions of medical sciences at Payam Noor University.

 The main objective of the present study is to draw a scientific map of audiovisual sports media based on scientific articles indexed in the Web of Science database during the years 2016-2023.

The present research is an applied study which uses scientometric techniques and indicators. The statistical population of this study includes all articles published in the Web of Science database in the 8-year period from 2016 to 2023 in the field of audiovisual sports media. Independent t-test was used to determine significance or non-significance, and VOS viewer software was used to draw a map of co-authorship of organizations, a map of country density, as well as word cooccurrence.

The results showed that from 2016 to 2023, the number of studies conducted in the field of audiovisual sports media has relatively increased. The largest share of articles published in the field of audiovisual sports media belongs to Lecture Notes in Computer Science, which has published 5 studies. Japan has the largest share of articles produced in the field of visual sports media compared to other countries by a large margin, with 238 articles and participation in 26 percent of the published articles. Words such as "classification", "audio", and "perception" were the most frequent in the field of visual sports media. Words such as "Sport" and "Social media" have the highest frequency and repetition in the titles and abstracts of published articles in the field of visual sports media.

Given their educational and informative role, sports media can contribute to the development of sports in countries by raising awareness, providing information, training, and guidance.

Explanation, as one of the most basic goals of science, is an important part of every scientific article that seeks to find the basic causes of any phenomenon or fact, and reports the relationship between various aspects of that phenomenon or fact, and helps readers to gain a deeper and more scholarly understanding about the topic. In spite of this, the introduction of its nature and functions has not been sufficiently considered. Therefore, the present study was conducted to identify and introduce the criteria and indicators for measuring the quality of explanation in medical science articles through a systematic review of scientific documents.

The data were collected through a systematic search in Iranian databases, including IranDoc, Scientific Information Database (SID), and Civilica, as well as international databases such as PubMed, ProQuest, Scopus, Web of Science, and Google Scholar search engine. During this process, 52 articles published between 2020 and 2024 were retrieved, and 13 documents were selected for study and analysis using the PRISMA checklist. Data analysis was performed using Altheide's method.

The research identified 14 basic indicators and categorized them in the form of three criteria for measuring the quality of explanation: "pivotal relationship" with two indicators of causality and reason exploration; "evidence-oriented" with four indicators of validity and correctness of evidence, access to evidence, efficiency of evidence and adequacy in quantity and quality, and "theory-oriented" with eight indicators of testability, reproducibility, simplification and being economical, experimental adaptability, theoretical adaptability, adaptability and conformity, comprehensiveness, and predictability. Among the criteria identified, the theory-oriented criterion had the highest number of indicators among the criteria mentioned in the review articles.

By using the identified criteria and indicators, researchers can improve the quality of their scientific explanations and significantly increase the impact of research results.