Biological Sequence in Iranian Researchers’ Articles on Information Science Indexed in Web of Science
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Objective
The aim of the present study was to investigate the biological sequence in Iranian researchers’ articles on Information Science indexed in web of science till 2017. Method
This quantitative study was a content analysis. The population of the study consisted of all Iranian researchers’ articles on Information Science, which had been indexed in web of science till 2015. 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 software was used, and to analyze the data, WordStat 7.0 Excel 2013 and SPSS 20 were used. Results
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.Keywords:
Language:
Persian
Published:
Scientometric research journal, Volume:4 Issue: 7, 2018
Pages:
59 to 76
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