نشریه علم سنجی کاسپین
سال یکم شماره 2 (پاییز و زمستان 1393)

Content analysis of scientific journals is a good way for becoming aware about the evolutionary flow of research strategies and data collection techniques used researchers in different fields. The purpose of this study is to investigate the content analysis of research strategies and data collection techniques used in Iranian Knowledge and information science Journals. This study was conducted by content analysis method. The data collection tool was checklist and document observation. The study population included 943 articles published in Iranian Knowledge and Information Science journals. Data import to SPSS software and analysis by descriptive statistics and Chi-square formula. Literature review method was the most popular، used by 42. 71% of Iranian researchers. The second most popular Iranian research method was survey method at 37. 63%. Iranian articles were used a few number of other methods such as Field Research (0. 20%)، Information systems design (0. 20%)، or experimental research (1/20%). The leading technique was document observation، with about a half of the total (50. 44%). The other prominent technique with 25. 36% was questionnaire-distributing. Chi-square shows the meaningful difference between scientific journals based on research methods and data collections techniques. Study of published articles showed that asymmetric distribution of research methods and data collection techniques used in knowledge and information science field.

Number of scientific products indexed in the major databases such as Web of Science is one of the important criteria for ranking countries. This research aimed to review the Iranian articles in the field of microbiology in terms of quantitative and qualitative indicators of the growth rates of self-citations. In this research، citation analysis method was used. WoS database was selected for data collection and citation report of this database and Excel software were applied for data analysis. Based on the findings، 763 microbial articles of Iranians researchers were indexed in Web of Science database. The average of annual growth rate was 57. 25%. Average of citations annual growth rate without considering self-citation was 23. 54. Average of annual growth rate of journal impact factors with self-citation and without self-citation was -8. 51 and -8. 93، respectively. Moreover، the average of annual growth rate of immediacy index was -10. 1. The results showed that Iran has had increasing and decreasing trends in the field of microbiology in terms of quantitative and scientometric qualitative indicators in recent years.

The aims of this study was to compare the scientific productions of Iran in the field of education with competitor countries in the Middle East (Turkey، Saudi Arabia، Pakistan، Egypt and Israel) based on published articles in the Web of Science database from 2003 to 2012. Research method was scientometrics. Data was extracted from the WoS database. Totally، 4716 articles were retrieved With writing the research formula in advanced research، selecting three indexes of scientific citation، social sciences، art and humanities. The statistical population consisted of all of the scientific productions of 6 countries; Iran، Turkey، Saudi Arabia، Pakistan، Egypt، Israel in the field of education sciences. Excel and SPSS software were used to analyze the data. The results showed that the amount of the scientific productions of Iran in the field of education was 1046 articles from 2003 to 2012، and the highest one was belonged to Education with 529 articles and Educational Technology with 28 articles was the lowest amount in these productions. The scientific productions of Iran in the field of education have increasingly grown during 10 years so that Iran is located after Turkey with 31. 6 percent growth.

Presenting e-services via NAJA websites will significantly save time and cost for users. The aim of this study was to survey on visibility of NAJA websites، rank and relate these websites based on link interaction together and identifying core websites of these organizations. Current research as a webometrics method evaluated the links among I. R Iran police websites by using links analysis. In order to identify and introduce the core websites، Au=t/n formula was used. Findings reveal that NAJA websites are weak in terms of links and collaboration. Current study indicates that 2 websites of Rahvar Police and NAJA Police are core websites of I. R Iran police. Since NAJA websites have common contents، if they exchange the links with together، their visibility will be increased.

Reviewing the trend of scientific products in the field of Evidence-Based Medicine is essential in order to plan for improving the status and research priorities of the state. The purpose of this study was to determine the research trend in Evidence-Based Medicine filed (EBM) based on Scopus database. This applied study was conducted using a scientometric method. The samples were all scientific productions indexed by ''EBM'' in Scopus database from 1939 to 2014. Data collection tool was Scopus database. The obtained data was analyzed using ‘Excel’ software. Findings showed that the status of scientific products of the world in the field of Evidence-Based Medicine has descended in recent years so that the number of produced documents has been very small from 1939 to 1992. It has been increased from 1992 to 2007 and from 2011 to 2012 and decreased from 2007 to 2011 and from 2012 to 2014. No work has been published in the field of ''EBM'' in 1963، 1964، 1965، 1966، 1968، and from 1940 to 1961. With a production of 258 documents، Iran is ranked 37 among the 160 participating nations. This rank is very low compared to the competing states.

The aim of this study was to determine the co-authorship condition of chemistry researchers in University of Yazd in Web of Science database. This scientometric study was performed to visualize the co-authorship networks. For data description، Spss and Ravar- matrix software were used and Ucinet and Net draw software were applied to analyze the data. The density of co-authorship network was 0. 0288 and the results showed that researchers who had high frequency had strong correlations among the faculty members of Yazd University، too. In general، It can be concluded that there are no many connections between relationships that constitute co-authorship network among faculty members of Yazd University and there is not a high coherence among their co-authorship networks.

Self-citation is an important challenging issue in evaluating the scientific outputs. The aim of this study was to assess analytically the relationship between the quality and self-citation in Persian Humanities Journals based on Persian Journal Citation Reports (PJCR) in the Islamic World Science Citation Center (ISC). Citation analysis method was used in the present study and 67 Persian Humanities Journals indexed in the ISC database with impact factor. The results showed that the average self-citation rate for humanities sciences journals with selected impact factors in 2010 was 24. 45% in 2001- 2010. After analytical assessment of 67 reviewed journals، 23 of them had self-citation rate of 20% and less than 20%، and 20 of them had self-citation rate of more than 20%. Furthermore، results showed that the Impact Factor، Immediate Index، Matthew Value and the Proportion of Citing to their Articles with eliminating the effective self- citation in the four and combined indicators had decrease، increase and no changes in 65. 91%، 19. 35% and 14. 72% of journals، respectively. In addition، with eliminating the self- citations، the citation value of 56. 51% of the journals decreased، of 32. 78% had no changes and of 3. 94% of the journals reached to zero. There was positive and significant relationship between the self-citation and the quality of journals. Therefore، it is needed to determine a policy for the rate of self-citation on the behalf of editorial board to reduce it and to cite by the other journals.

The aim of this study was to draw co-citation map of outstanding authors in the field of image retrieval based on articles indexed in ISI from 2001 to 2012. This scientometric study was performed using bibliometric techniques such as co-citation analysis. Samples of the current study were all articles indexed in ISI 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. Results indicated that there were 84 co-citation links among 58 most cited authors in the network of co-citation authors. Tao DC and Zhang HJ reached the first rank with writing 26 articles. Rui Y was the most cited author with 627citations. Highest centrality، sigma and burst were related to RuiY with 0. 55، Smith JR with 20. 63 and Dattar R with 42. 71، respectively. Creating co-citation links among the authors of image retrieval shows the intellectual relevance among the authors of this field. It is obvious that none of the authors with high papers is an effective and most cited author and has the highest centrality، sigma and burst in the field of image retrieval.