Introduction: The present study aimed to investigate the presence and attentions received by Iranian highly-cited articles in the field of medical science, in various social media platforms. Methods: This descriptive and analytical survey was conducted using scientometrics and altmetrics indicators. The study population comprised of 1288 highly-cited papers from Iran in Essential Science Indicators (ESI) database during 2007-2016. In addition to Essential Science Indicators, Web of Science and Altmetric Explorer database were utilized for data gathering, too. Results: 0. 27% of the total publications from Iran in the field of medical sciences were among highly-cited papers (top 1% with the highest number of citations). Moreover, Iranian researchers contributed in 0. 28% of world highly-cited papers in the field of medical sciences. 85. 5% of Iranian highly-cited papers were mentioned at least once in social media platforms. Mendeley and Twitter were the most promising altmetrics sources for Iranian highly-cited papers in the field of medical sciences. Investigating the characteristics of highly-mentioned articles showed that they had similar publishing patterns. All five highly-alted papers in social media, were produced through international research collaboration, had more than 10 authors, and were published in the Lancet journal. Conclusion: Comparing to other subject categories, the altmetrics coverage of highly-cited papers in the field of medical sciences was in an acceptable level. Considering the positive and statistical significant association between the number of citations received by papers and their altmetrics scores, we can conclude that highly-cited papers from Iran in the field of medical sciences attract high attentions in social media as well.

Introduction: Scientific output of the Islamic Republic of Iran in Medical Sciences has increased during recent years as reflected in Scopus database. Moreover, highly cited papers of researchers, institutions and countries can be used in order to study the citation impact and quality of scientific output. The current study investigates the quality of Medical Sciences’ scholarly output of Iran through analysis of its progress in publishing highly cited papers compared to the top 25 most productive countries in the world. Methods: To conduct this study, scientometric indicators were utilized. A total of 45065 papers published by Iranian Medical Science researchers during 2010-2014 and indexed in the Scopus were selected as the sample of the study. The contribution of Iranian researchers and institutions in top 1%, 10% and 25% highly cited papers in the world was studied. Results: Results of the study revealed that 0. 35% of the country’ s total output in Medical Sciences was among the top 1% most highly cited papers in the world during the time period of this study. This share is 4. 9% and 17. 39% based on top 10% and 25% citation threshold, respectively. Iran ranked 25th in top 1% as well as 24th in top 10% and 25% by share of highly cited papers, among most 25 productive countries in the world. Although the proportion of highly cited papers in the country’ s total output was found to be relatively small compare to other leading countries, but Iran showed the highest growth rate in publication of highly cited papers over 5-year time span Conclusion: Beside the quantity Iran’ s scholarly publication in Medical Sciences fields, the quality of these output show the increasing trend based on the share of highly cited papers.

Purpose: This paper aims to investigate Iranian highly cited articles along with drawing and analyzing and discovering social networks and patterns as well. Methodology: This research was done by the scientometrics approach. The population was included a total of 1475 articles by Web of Science database. In order to analyze data, some software included Histcite, Nodexel, and VOSviewer were used. So as to compare the journals’ quality, a list of journals in Journal Citation Reports was used and then analyzed by Excel software. Findings: The findings showed that the number of scientific publications has increased in ascending growth. Moreover, the fields of engineering, chemistry, and mechanics were the dominant subject. Islamic Azad University, University of Tehran and, Tehran University of Medical Sciences have obtained the most prominent. The greatest collaborations were related to the University of South Korea and Virginia, Boston, and John Hopkins. Furthermore, Vanderbilt University, Washington, Valencia, Trieste, and Tennessee has achieved the highest and effective collaborations. Conclustion: In order to increase the citation, Iranian researchers would be better to collaborate with the European authors. Collaboration with overseas researchers is effective in increasing citation, so it is recommended that at least one international researcher collaborates in each article.

Purpose: This study aims to investigate the relationship between international scientific collaboration and highly-cited and hot papers of Iranian researchers in the Web of Science during 2010-2019. This research refers to the highly cited or hot articles in the Web of Science database. Methodology: The present study is an applied descriptive, including a scientometric approach. The research population includes 2747 highly-cited and hot papers of Iranian researchers indexed in Essential Scientific Indicators (ESI) and Web of Science (WoS) databases during 2010-2019. The research tool is an “advanced search” tool of the Web of Science database. For this purpose, first, articles related to Iran during 2010-2019 were extracted from the Web of Science database. By searching Iran, all the articles were retrieved. By limiting the search to highly cited articles and hot papers science scholars during 2010-2019 were extracted. Data was collected by Microsoft Excel software and analyzed by correlation and regression tests using SPSS (version 22) software. Findings: The largest number of scientific collaborations included the United States (534), China (449), and the United Kingdom (338). Findings showed the most collaborations in highly cited and hot articles published in 2018 and 2019. Also, the most collaborations in writing highly cited articles in the subject areas were engineering with 374 (33710 citations), Physics with 155 (26158), and clinical medicine with 154 (60397 citations),Furthermore, the most cooperation in writing hot articles in the subject areas of engineering with 18 (983 citations), materials science with 14 (253 citations), and clinical medicine with 12 (1686 citations). Findings showed that the number of highly cited articles with the cooperation of two countries was 566 (50266), for three countries it was 274 (24351), for more than 15 countries it was 226 (86575), and the number of hot papers with the cooperation of two countries was 22 (713), for more than 15 Country it was 19 (1914), for three countries it was 12 (339). Findings showed that a positive and significant relationship was observed between the number of international collaborations and the number of citations received (without self-citation) of highly cited and hot papers. Whenever the coefficient becomes significant in the regression model, it means that in the regression model, the predictor variable has an effect on the dependent variable. If the value of P is less than a, the coefficient is significant. The regression model on the research variables with the presence of the predictor variable (the number of highly cited articles). In general, the number of collaborations is presented as the most suitable model that explains the variance of the criterion variable (number of citations) and the test is positive and significant. The findings show that the relationship between countries' researchers' cooperation and the number of citations received by highly cited articles is a strong, positive, and significant predictor. Conclusion: Based on this, with the increase in cooperation, we see an increase in the number of cited articles by Iranian researchers. The results showed that there is a positive and significant relationship between the number of international collaborations of article researchers and the number of citations received. International scientific collaborations have increased the quality of research outputs (hot and highly cited papers) of Iranian researchers. According to the findings of the current research as well as the findings of the investigated backgrounds and confirmation of the impact of coauthorship and international scientific cooperation on increasing visibility and receiving citations, encouraging more international scientific cooperation, and allocating suitable funds and facilities. For this type of activities, the researchers of universities and research centers in Iran should be put on the agenda. With this action, the expansion of the research field of this research considering various aspects of international scientific cooperation in universities and research centers of the country can be considered.

Background and Aim: Infectious Diseases are among the diseases involved in public health and a high percentage of causes of death worldwide are attributed to these diseases. The purpose of this study was to investigate the status of highly cited articles in the field of infectious diseases based on bibliometrics and Altmetrics indicators. Materials and Methods: This descriptive-analytical research was applied research that has been done using bibliometrics and Altmetrics methods. The research population included 687 highly cited articles indexed on the Web of Science (WOS) database between 2010-2020. Web of Science database and Bookmarklet tool was used for data collection and VOSviewer, Excel, and SPSS software were used for data analysis. Results: The production process of highly cited articles have had an upward trend. The highest publication rate was in 2020 and the lowest in 2010. The United States published the largest number of articles with 49%, and Lisa Maragakis and Deborah Yokoe were among the most prolific writers. The Lancet Infectious Diseases Magazine and the Center Disease Control Prevention Institute have contributed the most to the publication of articles citing infectious diseases. Vocabulary: COVID 19, epidemiology, disease, mortality, and infection were the most widely used terms in the field of infectious diseases. Mendeley and Twitter were also among the most important social media sites that cited highly cited articles. Conclusion: The results showed that there is a significant relationship between Altmetrics indices and the number of citations. Also, by identifying the characteristics of highly cited articles in the field of infectious diseases, an attempt has been made to provide a clear view of the top authors, countries, institutions, and journals, and of course, researchers can use the hot and emerging topics identified in this research in future research.

Background and Aim: The purpose of the present study is to map the coronavirus domain citation network to better understand this domain based on all other citation networks. Materials and Methods: The present study is applied in terms of purpose, and is descriptive scientometrics in terms of type, which has been done with the all-citation method. In this study, all scientific publications on coronavirus(6980 documents) in the period 1985-2019 AD were studied on April 10, 2020 in the Web of Science database. For analysis and drawing all citation maps, VOSviewer and Excel software were used. Results: In the field of coronavirus, 6815 documents, 10246 journals, and 40298 authors were identified. Ksiazek(2003) with the acute respiratory syndrome(SARS) topic received 875 citations and won the first place. The most cited documents in the field of coronavirus have 5 clusters; and the first cluster with 201 documents and with the topic of studying the structure of coronavirus is the largest one. Journal of Virology--with the thematic range of genome structure and replication, virus identification, etc.--ranked first with 35, 383 citations. The most cited journals in the field of coronavirus are 5 thematic clusters, and the first one is the largest cluster with 121 journals and with the thematic domains of health policy, coronavirus, etc. Also, Woo PCY won first place with his specialization in identifying new microbes and emerging infectious diseases, and receiving 1491 citations. The most cited authors in the field of corona virus are in 6 thematic clusters; the first cluster with 195 authors in specialized field of virology and coronavirus is the largest cluster. Conclusion: By identifying the highly cited scientific products in the field of coronavirus, efforts have been made to provide a comprehensive view of top documents, top journals, and top authors so that it can be a decision-making tool in the shortest possible time.

Purpose: The purpose of this article is to evaluate the role of Google Scholar effectiveness in the retrieval of the most cited authors' information and publications under different name versions.Method: This research was applied and has been done under the Survey-Descriptive method. Data collection was done through the field and library methods. The study population included 10 most cited authors in 5 fields which were gathered from In-cite webpage through non-probability sampling method. Different versions of the authors' name retrieval were adjusted to his publications’ check list. Findings: The recall result of the 12 variables (The formula used to search authors' names) showed that only 4 out of 10 cases were above than the recall average and precision in all of the variables, were below the average level. Friedman test was prioritized for the recall and precision average factors which showed that no variable is better than the other. The results of the student test for measuring the independence of 1 to 6 variables (different names of authors without limiting to a subject) showed that there were not any differences between these two categories of variables but the precision in 1to 6 variables (different names of authors without limiting a subject) is higher than the name limitations of the subjects. Overall, the results suggested that Google Scholar which is used to retrieve the various versions of authors’ names is usually not desirable.

Various theories of national culture around the world affect legal systems, social norms, economic development, and political communities. In this regard, this paper discusses the impact of national culture dimensions on worldwide governance indicators. The is an applied research with quasi-experimental design and regressive approach. The population of this international study comprised all nations worldwide, thus 74 countries were selected as study sample using non-random sampling method. The paper used six national culture dimensions of Hofstede et al. (2010) as explanatory variables. The institutions composite of six worldwide governance indicators from Kaufmann et al. (2010) in the World Bank were taken into account as the responsive variables of the paper. It is worth knowing that both studies are highly cited papers. Based on the results, power distance has a significant and negative relationship with institutions composite, but individualism, long-term orientation, and indulgence are significantly and positively related to the institutions composite. These findings are discussed subsequently.