Scientometrics Research Journal
Year:2018 | Volume:4 | Issue:1 (7) |Papers Count:11

Purpose: data sharing is one of the critical drivers of science advancement. ICT and Open Access movement have had a significant role in data sharing. The purpose of this study is analysis of the articles on data sharing indexed in WoS. Methodology: This research used quantitative approach with scientometric techniques and softwares to analyze data sharing literature. Findings: Results showed that during recent years, the number of articles on data sharing has increased dramatically. The rate of articles on data sharing shows a considerable increase in three categories of medical sciences, biological sciences and library and information sciences. The United States has produced more than half of the articles. About 27000 authors from 6742 institutions and 140 countries have contributed in publication in the mentioned field and 3500 journals published the articles. These articles were indexed in 231 subject categories. The first 20 subject categories contained more than 90% of the articles. Conclusion: Due to data sharing functions and benefits in advancing science and attention of scientific communities to this subject and multidisciplinary context of data sharing, it seems that in near future, more and more researchers and scientific communities will tend to research on data sharing, and this will requrie more attention to technical, cultural and structural infrastructures on behalf of data sharing stakeholders.

Purpose: This research aimed to investigate the status of research production of Iran in the field of science sicne the Islamic Revolution and comparing it with the world scientific production as well as to identify the contribution of Iran in production of world research publications in the field of science and its sub-disciplines (the 22 branches of science) during this period. Methodology: This research is an applied bibliometric study. The research population included all of the indexed scientific outputs of Iran and the world in the Science Citation Index (SCI) during 1980-2016. The total number of scientific productions of Iran in the field of science during the studied period was 267626 items and the total number of scientific productions of the world at the same time was 40297747 items, all of which were census-based. Findings: The results of the Yi index, which examines the status of different branches of science in a country, showed that the fields of chemistry (with 16. 95% of the total scientific production of Iran), clinical medicine (with 14. 84% of the total scientific production of Iran), engineering (with 12. 80%), physics (with 8. 7%) and material sciences (with 7. 20%) have had better performance among twenty-two branches of science and these five categories have been the largest contributors in science production of Iran. Xi index which examines the global contribution of a country in various scientific fields showed that mathematics (0. 66%), engineering (0. 63%), chemistry (0. 57%) and agriculture (0. 53%) had higher rate than Xi of 0. 05%, respectively. Other fields had lower Xi than 0. 5%. Sx or scientific poverty index which examines the relative performance of countries according to the percentage of the country's population from the entire world population, showed that, Iran's situation in each of the twenty-two subject areas was below the scientific poverty line (below one percent) during 1980-2009, but since 2009, it has risen to over 1 percent, and has actually risen above the poverty line, and even exceeded 2 percent in some areas. The examination of the index in all areas in the country from 1980 to 2016 also showed that the index reached 1. 19 percent in 2009 to about 2 percent (1. 99 percent) in 2016. Conclusion: Improving the status of science production indicators of Iran in the fourth decade after the Islamic Revolution has improved the status of various indicators of scientometrics and this improvement in performance has led to the passage of the poverty line in Iran. Therefore, the per capita production of Iranian science from world science production reached 1. 11 percent in 2009 to 1. 86 percent in 2016. By the end of 2016, about two percent of the total production of world science (indexed in SCI) was produced by Iranian researchers.

Purpose: The aim of this research is to investigate the effect of international academic mobility of Tehran University faculty members on their research performance and scientific collaborations. Methodology: This is an applied scientometric study, conducted by using library research and descriptive-evaluative survey methods. The statistical population of the research consisted of all the faculty members of Tehran University who had taken at least a foreign sabbatical during 2009-2015. The demographic data and data concerning the sabbaticals were extracted from the Business Intelligence System of Tehran University and the bibliometric data were extracted from WoS database. Findings: The findings showed no significant correlation between foreign sabbaticals and the number of articles published by the faculty members but showed a small negative and a significant positive correlation between foreign sabbaticals and the number of citations and international co-authorships, respectively. The co-authorship maps also indicated that the scientific collaborations pattern has changed from a greater number of co-authorship groups with fewer members during the pre-sabbatical period to fewer groups with more members during the post-sabbatical period. Conclusion: Foreign sabbaticals, while having no effect on the articles' and citations' numbers, increase the amount of international co-authorships, and decrease the number of co-authorship groups and enlarge them.

Purpose: The aim of the present study was to investigate the biological sequence in articles of Iranian researchers on Information Science indexed in Web of Science untill 2015. Methodology: This quantitative study was done using a content analysis approach. The research population of the study consisted of all articles published by Iranian researchers on Information Science, which had been indexed in web of science till 2017. The data collection instrument included the thematic categorizing list (Zarei, 2014), which classified the issues in Knowledge and Information Science into 14 main subject categories, and 110 sub-categories. To analyze the content of the articles and to analyze the data, WordStat 7. 0, Excel 2013 and SPSS 20 were used. Findings: As the findings showed, among the main categories of Knowledge and Information Science in the mentioned articles, general themes in knowledge and information science, knowledge and information Science education, methodology, libraries and information centers, users’ studies, storage and retrieval of information, library and ICT, publishing and distribution industry, ethical and legal issues, and information management were in proper conditions. Conclusion: Generally speaking, the status of thematic sequence in the biological process of the reviewed articles on Information and Knowledge Science was in an acceptable level. It shows the appropriate and scientific thematic sequence of Iranian researchers in the field of Knowledge and Information Science. Biological sequence of the themes is a decisive factor in the authority of sovereignty and survival.

this paper, with purpose of investigating the basic components and elements of programming in the field of science and technology, provides an optimal model in television media. Methodology: The method of collecting data was a compilation of interviews and survey. The statistical population consisted of the producers of TV programs affiliate with IRIB and experts in popularization of science. sampling metod is and snowball and targeted. In order to create a graceful and acceptable measurement model, confirmatory factor analysis was performed using Lisrel 8. 5 software about all the factors underlying variables. Finally, using path analysis, causal relationships between variables were tested. Findings: Because of its diversity, simplicity of use and strong influence on the community, audio-visual media have a prominent role in popularization of science. In this regard, the use of visual media such as television, despite the recency of time, has increased much wider and more general than other media tools. Analysis capabilities of this effective medium in popularization of science, can help TV managers and stakeholders in order to plan better and move in right direction. Conclusion: The results showed that in the process of production of programs, pre-production and post-production through program content, have a significant and positive relationship with audiences attitude.

Purpose: Scientific journals are the basis of creating and developing communication networks between researchers in various universities and educational and research institutions. The current study aims to analyze and compare the self-publishing rates of journals in Islamic World Science Citation (ISC). Methodology: This is an applied study that was carried out using bibliometric methods. The statistical population consists of 7 top journals of ISC. A checklist was used for data gathering. Findings: Data analysis showed that the rate of editorial boards self-publishing in journals is 12. 33%. The highest editorial boards self-publishing rate belonging to Journal of Advanced Applied Geology (20. 95%). The highest organizational self-publishing rate belongs to Journal of Veterinary Research (9. 33%). Conclusion: Patterns of self-publishing can be used as an indicator for assessment and evaluation of scientific production of countries, universities and research and educational institutes, researchers and journals.

Purpose: The present investigation examines the research trends and significant factors within the field of image retrieval and attempts to draw the relevant knowledge map based on the articles retrieved from Web of Science. Methodology: This scientometric study was performed using bibliometric techniques such as co-citation analysis. Samples for the current study were all articles indexed in Web of Science in the field of image retrieval from 2001 to 2012. Therefore, 2537 papers were retrieved in this field. Citespace and Webometric Analyst software were used to analyze the co-citation of authors. Findings: results indicate that the United States leads with 584 papers. Iran ranks 22nd with only 24 papers. The Journal of "LECTURE NOTES IN COMPUTER SCIENCE" is the leading source of research papers with 457 article published. Microsoft is the foremost corporate author with 61 papers. Highest centrality with 0. 08 in 2004 belonges to Remote Sensing, Highest burst with 15. 38 in 2002 and highest sigma with 1. 26 in 2001 were related to Imaging Science & Photographic Technology. Conclusion: Overall, image retrieval demonstrates wide interdisciplinary scope, with 68 research domains contributing to the field. The leading field by the number of papers published is computer sciences. Librarianship ranks 6th.

Purpose: The aim of this article is to identify and discover scientific documents that potentially have transformative characteristics during the time and impress the structure of a scientific area. Transformativeness is a characteristic of scientific documents, according to which a scientific document, not only fills the communication gaps of different networks with a scientific structure, but also is the basis of development and expansion of a scientific area in scientific networks that are related to a scientific structure. Methodology: The method used in this project is co-citation analysis, and in order to identify transformative documents the index of sigma has been used. According to this, the rate of burstness of each document during the time and betweenness centrality of each existing node in network, are measured and analyzed in order to estimate the index of sigma. Findings: The result of the project shows that the co-citation network, made from 699 extracted articles of Web of Knowledge database, includes 2339 nodes. Based on the sigma index, 23 documents are identified as potentially transformative, and they include books and articles from 1970 up to 2017. Among these 23 documents, 8 documents are related to the basic theory of complexity and agent-based modeling, 4 documents are related to scientific area of social science, 6 documents are related to scientific area of management with different attitudes such as marketing and financial, 3 documents are related to economy, 1 document related to research methodology (in this article simulation approach to research has been investigated), and 1 document related to innovation studies. Conclusion: Sigma indicators showed better compared to other indicators.

Purpose: The purpose of this paper is to evaluate the dissemination of scientific papers of knowledge and information science researchers of the world in social networks using scientometrics methods. Methodology: This research is a kind of scientometrics study that using of althemetrics and content analysis was performed, all articles of knowledge and information science indexed in the web of science was studied has been investigated about altmetric indicators content analysis in social networks. Findings: The annual growth rate of dissemination of articles from 2005 to mid 2016 is (32%) and the most of dissemination rate is related to Reasearchgate social network (78%) and the most frequency disseminated subject areas in the social networks respestively, are library and information science, informatin retrieval, bibliometrics. Conclusion: according to the study, similar to libraries and information science centers, the online social networks play as information disseminators for researchers but these social networks doesn’ t have difficulties of traditional dissemination, and also the dissemination score can be used as an alternative metric for the other altmetric indicators to evaluate social networks and knowledge.

Purpose: The aim of this study was visualization and analysis of topics covered by theses in the Department of Consulting of Shahid Beheshti University during 2005-2015. Methodology: The current study is an applied research in terms of objectives while it is a descriptive and survey in terms of data analysis and was conducted using bibliometric and social network analysis indicators. The research population comprised of all 145 master’ s theses written and collected at the Department of Consulting in Shahid Beheshti University during 2005-2015. Titles and abstracts of the theses were investigated by two specialists in consulting and a few keywords were assigned to each document. Then, the adjacency matrix of word co-occurrences was generated in a Microsoft Excel spreadsheet and transferred to the UCINet and VOSViewer for further analysis. Findings: According to the findings, the most important and prolific topics in terms of degree centrality measures were group intervention, academic achievement and character. Moreover, group intervention, academic achievement, character and coping strategies were four topics with the highest betweenness centrality. Moreover, the density map of the word co-occurrence map showed that topics including group intervention, academic achievement, coping strategies, stress, mental health as well as character were among the most important and trending topics in Department of Consulting’ s theses. Conclustion: Visualization and analysis of topic map of theses in the Department of Consulting at the Shahid Beheshti University provides useful information about hot topics as well as research gaps and prevents researchers from repeated research activities.