Scientometrics
Esmaeil khademizadeh; fatemeh nooshnfard; Amir Reza Asnafi
Abstract
Objective: The aim of this study was to investigate the thematic structure and production process and growth of articles extracted from master's theses in knowledge and information science of Iranian public universities.
Methodology:The present study has examined articles from the beginning to ...
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Objective: The aim of this study was to investigate the thematic structure and production process and growth of articles extracted from master's theses in knowledge and information science of Iranian public universities.
Methodology:The present study has examined articles from the beginning to the first half of 1398 through homogeneous analysis. 1425 dissertations were retrieved by searching the dissertation sites. Through the search of researchers, the titles of dissertations in the databases of "Meg Iran", "Normagz", "Science Search Engine", "Humanities Database", "University Jihad Database" and "Google Scholar" were retrieved 623 articles. Excel and Rover Prim software were used to analyze the bibliographic information of the articles and to analyze the homogeneity of the topics of the articles and to unify the keywords. Out of a total of 394 keywords, 59 keywords with a minimum frequency of 5 were selected using the Bradford's law and inclusion threshold to construct the co-occurrence matrix. Then, the created matrix was converted to UCNET software format, and maps and the value of degree, proximity and intermediate degree indicators were drawn and calculated through the software plugin, ie NetDraw
Findings: Findings showed that according to the indicators of intermediate centrality and rank, the highest value belongs to the topics of "academic libraries", "librarians", "knowledge management" and "scientometrics". Also, according to the Centrality of Proximity Index, the topics of "librarians", "academic libraries", "information literacy" and "knowledge management" have the most impact on the network. The growth trend reached its highest level in 1994 and 1995. Ferdowsi University of Mashhad with 100 titles and Shahid Chamran University of Ahvaz with 83 titles have the first and second ranks of nuclear universities among the universities that publish articles, respectively.
Conclusion: The greater focus of dissertation papers on scientometrics, knowledge management, librarians, information literacy, and academic libraries indicates the importance of these topics in postgraduate research.
Scientometrics
Masoume Kiani; Asefeh Asemi; Mozafar cheshmaeh Sohrabi; Ahmad Shabani
Abstract
An examination of the thematic process of the articles reveals the process of thematic growth and development of a scientific field over time. The knowledge map identifies concepts and connections between concepts in a scientific field, and by illustrating the internal structure of a scientific field, ...
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An examination of the thematic process of the articles reveals the process of thematic growth and development of a scientific field over time. The knowledge map identifies concepts and connections between concepts in a scientific field, and by illustrating the internal structure of a scientific field, it will help users to quickly have a clear understanding of the structure of the field by observing the concepts, relations, and distances. In this study, an attempt was made to identify the main topics (core) considered by researchers and specialists in this field by examining the thematic process of articles in this field. Also, the relationships of these concepts should be drawn in the form of thematic maps and knowledge maps. The paper aimed to provide a clear picture of the thematic relationships of articles in the field of bioinformatics in the Clarivate database. The research is an applied type that was performed through co-word analysis and social network analysis techniques. The present research community compiled all kinds of bioinformatics articles that have been indexed in the Clarivate database during the years 1975-2018. The study articles were retrieved using a keyword-based search strategy, It was designed by using a combination of keywords and phrases suggested by experts in the field of bioinformatics. Data analysis and thematic mapping of articles were performed using Ravar PreMap, BibExcel, UciNet, and NetDraw software. Drawing thematic maps of articles showed that according to the centrality indicators, issues such as Proteomics, Microarray, MicroRNA, Genomics, Gene Expression, Computational Biology, and Database are among the main topics in this field. The findings also showed that based on the calculation of the lifespan of the presence of keywords compared to the first year of presence in the articles and the last year of presence in the articles, topics such as LNCRNA, Big Data, Differentially Expressed Genes, Osteosarcoma, Next-Generation Sequencing, RNA-SEQ, Protein-Protein Interaction Network, High-Throughput Sequencing, Metagenomics and ITRAQ were identified as emerging topics. Thematic maps drawn in this field can provide researchers with a suitable model for determining research policy.
