4 research outputs found

    Information Sources of Students of Psychology

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    Every year, universities spend a large sum of money on databases and library sources to help with education and research. The main aim is to determine the sources of information utilized by the psychology students at Semnan University to address their information needs. This study is applied research and uses grounded theory to reveal the viewpoints of postgraduate psychology students at Semnan University. The statistical population comprised all postgraduate psychology students at the time of the study (2018-2019). Data collection and analysis were conducted until saturation point, and 50 in-depth interviews were carried out. Semi-structured interviews were conducted, and MaxQDA was used for data coding. Interviewing was stopped following 40 interviews due to data saturation, although 10 additional interviews were held with the students, which led to no new data. Based on the open coding, 95 codes were identified and extracted from the data, followed by 27 codes in axial coding. Finally, 10 codes were identified and extracted from the data through the selective coding process.  The results showed that the sources of information for psychology students of Semnan University are their professors, databases, research questionnaire databases, resource ordering, accessible electronic sources, the Internet, audio-visional sources, library, search engines, and professional websites. Psychology students of Semnan University used formal/informal and digital/printed sources of information. These cover many types of information. They need more bibliographic instruction on making greater use of library services prepared for them.https://dorl.net/dor/20.1001.1.20088302.2022.20.1.18.

    Studying the outputs and mapping the co-author network of Semnan University researchers in the Web of Science Indexes

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    Background and Objectives: One of the areas of research and study in Scientometrics is scientific collaborative studies. Katz and Martin (1997) define scientific collaboration as working with other researchers in order to achieve common goals for the production of new knowledge. This collaboration has several aspects one of which is co-authorship. Co-authorship can occur in scientific productions such as paper, notebooks and so on. In recent years, scientific collaboration, and especially co-authorship, has grown exponentially among authors and researchers. Perhaps this increasing growth can be attributed to the benefits that scientific collaboration holds for authors and their works. This research evaluates the scientific production of researchers based on Scientometrics indicators such as growth rate, cooperative indices, the most prolific researchers and their Hirsch index, analyzing the components of the co-authorship network of researchers, and investigating the structures existing in co-authorship networks using social network analysis and based on the Centrality measure such as degree, betweenness, eigenvectors and closeness. Also, the density measures, the coefficient of clustering, the distance between nodes and subgroups are also calculated and determined. The aim of this article was to study the scientific outputs of Semnan university researchers in term of quantitative indexes (number of outputs, research area, and year) and qualitative indexes (number of citations and H-Index). Mapping the co-author network of Semnan university researchers in the Web of Science database was the other purpose of the present paper. Methodology: The research was conducted based on Scientometrics methods. The research population included all the documents which mentioned Semnan University as their affiliation and were indexed in Web of Science from 1990 to 2015. Totally, 2106 documents were indexed in this timespan. The co-author network was mapped and analyzed by Coau.exe, Ucinet and Netdraw. In order to analyze the data, different software and measures were used. For this purpose, the data were first analyzed by coauthor.exe software and the authorship matrix was formed. The obtained matrix was a symmetric matrix 194 * 194, in which the diagonal cells were set to zero. Then the matrix was imported into the UCInet software to provide the proper format required for drawing software. After obtaining the outputs from the UCInet software, to draw up a map of the co-authorship the NetDraw software was used. Also, for all authors and researchers of the Semnan University, the h index was calculated using the Web of Science and the authors with the highest h index were identified. Findings: The results showed that Engineering (39%), Physics (19.5) and Mathematics (14%) were the subjects to which Semnan university researchers contributed. Totally, in the time span investigated, Iranian researchers produced 272019 documents out of which 2106 belonged to Semnan University. Therefore, this university ranked 30 among the Iranian universities. During the period studied, Semnan University produced 0.0049% of the universal scientific outputs. The results of the growth rate calculation indicated 43.22 for Semnan University researchers in the past fifty years that reveals a promising rising growth rate. Amjadi, Gorji and Orouji with 25, 23 and 15 H-Indexs ranked first to third, respectively. In term of citation, Amjadi ranked first with 2126 citations and Gorji with 1341 and Orouji with 629 citations were in the next ranks. Investigating the degree from among the centrality measurements was also calculated and the results showed that Gorji, Fereydoun and Asghari were in the top. The highest co-authoring rate occurred in 2005 which included 3 authors. As regards the fields of study, mathematics was the highest single-author subject. After obtaining the number of co-authorship of documents in different years, three indicators of co-authorship, including the cooperation index, degree of collaborative and Collaborative coefficient, were obtained, which showed that these collaborative indicators have increased significantly during the studied years. Also, there has been an increasing trend in two indicators of degree of collaborative and collaborative coefficient with several fluctuations over several years in general. The average of these three indicators for the whole years was 2.52, 0.84 and 0.50 respectively. Discussion: The results of data analysis showed that, although the flow of co-authorship among the Semnan University researchers has fluctuated in recent years, during the studied period, the researchers of Semnan University have tended to write co-authorship. Generally, documents with three authors were the most co-authorship. The results also showed that the co-authorship network of Semnan University researchers consisted of 6 main components and 7 isolated authors. The largest cluster composed of 171 authors. The smaller cluster comprised of 7 authors and the other clusters included two. Also, subject areas of engineering, physics and mathematics scored the highest number of articles among Semnan University researchers

    Studying the outputs and mapping the co-author network of Semnan University researchers in the Web of Science Indexes

    Get PDF
    Background and Objectives: One of the areas of research and study in Scientometrics is scientific collaborative studies. Katz and Martin (1997) define scientific collaboration as working with other researchers in order to achieve common goals for the production of new knowledge. This collaboration has several aspects one of which is co-authorship. Co-authorship can occur in scientific productions such as paper, notebooks and so on. In recent years, scientific collaboration, and especially co-authorship, has grown exponentially among authors and researchers. Perhaps this increasing growth can be attributed to the benefits that scientific collaboration holds for authors and their works. This research evaluates the scientific production of researchers based on Scientometrics indicators such as growth rate, cooperative indices, the most prolific researchers and their Hirsch index, analyzing the components of the co-authorship network of researchers, and investigating the structures existing in co-authorship networks using social network analysis and based on the Centrality measure such as degree, betweenness, eigenvectors and closeness. Also, the density measures, the coefficient of clustering, the distance between nodes and subgroups are also calculated and determined. The aim of this article was to study the scientific outputs of Semnan university researchers in term of quantitative indexes (number of outputs, research area, and year) and qualitative indexes (number of citations and H-Index). Mapping the co-author network of Semnan university researchers in the Web of Science database was the other purpose of the present paper. Methodology: The research was conducted based on Scientometrics methods. The research population included all the documents which mentioned Semnan University as their affiliation and were indexed in Web of Science from 1990 to 2015. Totally, 2106 documents were indexed in this timespan. The co-author network was mapped and analyzed by Coau.exe, Ucinet and Netdraw. In order to analyze the data, different software and measures were used. For this purpose, the data were first analyzed by coauthor.exe software and the authorship matrix was formed. The obtained matrix was a symmetric matrix 194 * 194, in which the diagonal cells were set to zero. Then the matrix was imported into the UCInet software to provide the proper format required for drawing software. After obtaining the outputs from the UCInet software, to draw up a map of the co-authorship the NetDraw software was used. Also, for all authors and researchers of the Semnan University, the h index was calculated using the Web of Science and the authors with the highest h index were identified. Findings: The results showed that Engineering (39%), Physics (19.5) and Mathematics (14%) were the subjects to which Semnan university researchers contributed. Totally, in the time span investigated, Iranian researchers produced 272019 documents out of which 2106 belonged to Semnan University. Therefore, this university ranked 30 among the Iranian universities. During the period studied, Semnan University produced 0.0049% of the universal scientific outputs. The results of the growth rate calculation indicated 43.22 for Semnan University researchers in the past fifty years that reveals a promising rising growth rate. Amjadi, Gorji and Orouji with 25, 23 and 15 H-Indexs ranked first to third, respectively. In term of citation, Amjadi ranked first with 2126 citations and Gorji with 1341 and Orouji with 629 citations were in the next ranks. Investigating the degree from among the centrality measurements was also calculated and the results showed that Gorji, Fereydoun and Asghari were in the top. The highest co-authoring rate occurred in 2005 which included 3 authors. As regards the fields of study, mathematics was the highest single-author subject. After obtaining the number of co-authorship of documents in different years, three indicators of co-authorship, including the cooperation index, degree of collaborative and Collaborative coefficient, were obtained, which showed that these collaborative indicators have increased significantly during the studied years. Also, there has been an increasing trend in two indicators of degree of collaborative and collaborative coefficient with several fluctuations over several years in general. The average of these three indicators for the whole years was 2.52, 0.84 and 0.50 respectively. Discussion: The results of data analysis showed that, although the flow of co-authorship among the Semnan University researchers has fluctuated in recent years, during the studied period, the researchers of Semnan University have tended to write co-authorship. Generally, documents with three authors were the most co-authorship. The results also showed that the co-authorship network of Semnan University researchers consisted of 6 main components and 7 isolated authors. The largest cluster composed of 171 authors. The smaller cluster comprised of 7 authors and the other clusters included two. Also, subject areas of engineering, physics and mathematics scored the highest number of articles among Semnan University researchers

    Social Network Analysis of Iranian Researchers on Medical Parasitology: A 41 Year Co-Authorship Survey

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    Background: The aim of this study was to survey the Iranian Parasitology researchers’ performance, and analyse and visualize the scientific outputs of their co-authorship network. Methods: This study was conducted using scientometric method and social network analysis (SNA). The data extracted from the Web of Science (WoS) databases in July 10th 2014. Totally, 1048documents of all types in research area of Parasitology during 1972-2013 by Iranian researches retrieved. The co-authorship map was drawn utilizing NETDRAW, Coauthor.exe, and UCINET softwares and was analysed based on SNA measures. Results: The researchers’ co-authorship network consisted of 78 authors and its density degree is 0.57. “Mohebali” ranked top in all of centrality measures.The most of the publications were related to 2012, “Mohebali” with about 9% of all documents was the Iranian most prolific author in Parasitology field. The Iranian researches have published mostly (266 documents) in “Iranian Journal of Parasitology”, and the most of the documents belong to “Tropical Medicine” subject field. The most of Iranian researchers’ scientific cooperation was performed with England and United States. Conclusion: Bringing forth density degree (is 0.57) showed that this network has an almost medium density. Indeed, the authors have had relations in moderate level with each other in the network. The findings of this study can be identified aspects of scientific collaboration, and help policy makers of Parasitology field research
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