نشریه علم سنجی کاسپین
سال هفتم شماره 1 (بهار و تابستان 1399)

To gain an in-depth insight and to achieve greater precision in the reasoning and writing of academic papers, the present study investigated the types, frequencies of hedges and boosters used in Iranian and foreign academic Medical and Teaching research articles (RAs).

This descriptive-analytical study included 60 research articles. Iranian articles on English language teaching about new methods of teaching English were selected from the journals indexed in Scopus. By searching in PubMed, the national medical articles which were interventional were chosen. Foreign articles related to these two fields were also selected from journals indexed in the ISI with impact factors>1. They were analyzed according to Holmechr('39')s classification of lexical devices through focusing on hedge and booster words and using Chi-square test.

The results showed a significant difference in the use of hedges and no significant difference in the use of boosters among the words used in academic papers, indicating the incorrect use of these hedge and booster vocabularies by non-native authors in writing academic articles.

The analysis suggested that the overall percentage of hedges in the Teaching RAs was higher than Medical RAs so that their improper use by authors has unpleasant consequences in the development of English writing skills for academic articles.

In recent years, journals and quarterly journals have placed a great emphasis on increasing scientific collaboration in articles. Therefore, in this paper, the analysis of social networks was used to determine the co-authorship structure between researchers and drawing keyword co-occurrence network in the Journal of Public Management Research of Sistan and Baluchestan University.

This applied study was done by using a scientometric method. The statistical population of the study was 310 articles indexed in the Journal of Public Management Research from 2015 to 2019, collected using Publish or perish software and RIS addressing. The VOSviewer was used to draw co-authorship patterns as well as Excel and SPSS were applied to answer the research hypotheses.

The analysis of the co-authorship pattern suggested that each article had 3.2 authors in this Journal. Moreover, the most prolific authors in this Journal according to the co-authorship network due to the number of articles and collaborations were: Adel Azar, Noor Mohammad Yaghoubi, Fariborz Rahimnia, and Abdolmajid Imani. An examination of the Keyword Co-Occurrence network showed that the issues such as knowledge management (15), entrepreneurship (10), organizational citizenship behavior (9) and organizational commitment (8) were the most important subjects. Besides, the evaluation of the difference between men and women showed that with a t-value of 7.379 (p = 0.000), there was a significant difference between women and men in writing articles.

The analysis of the co-occurrence density map indicated that the topics of the papers were aligned with the new topics of management. Furthermore, the results demonstrated the high level of group participation in this journal.

Today, in scientometrics, the keywords of scientific products are used to evaluate the scientific outputs of different scientific fields. In this research, the keywords of scientific products of Iranian experts in the field of air pollution indexed in international databases were used for content analysis.

This applied study was done using scientometric techniques and software. The data of this research were extracted from the Web of Science from 1983 to 2018. The research population consisted of 1054 documents using Latin keywords related to infection and its roots and in accordance with the database search strategy. The Bib Excel, SPSS, UCINET and Excel were used to analyze the data.

The findings of this study showed that in terms of frequency, the keywords "Tehran" and "suspended particles" had the highest frequency. Findings also indicated that the scientific products of Iranian researchers in the field of air pollution consisted of 11 clusters so that clusters 1 and 11 were the most frequent clusters with 14 and 13 words, respectively. According to the findings, American researchers had the most cooperation with Iranian researchers by producing 91 documents. Moreover, in the period under study, research and executive institutions in the field of air pollution had the lowest scientific products.

The scientific productions of Iranian researchers have been growing in the specified years. Furthermore, the word density maps in the field of air pollution illustrate the word density of "air quality" and "suspended particles" in the maps.

Scientific collaboration among medical authors is growing. Due to the role of scientific collaboration in improvement of quality and quantity of scientific outputs, the aim of this study was to reflect the scientific collaboration among the authors in Payesh Journal (PJ).

In this scientometric study, all published articles of PJ (a medical journal published by Iranian Institute for Health Sciences Research: ACECR) during 2012-2019 were evaluated. The articles were assessed in terms of the frequency of authors, average number of authors per article, most prolific universities/institutions and authors, intra- and inter-university collaboration, frequency of gender and group collaboration coefficient between authors. To answer hypotheses, the data were analyzed using SPSS.23 and Chi-square.

The results showed that 2206 authors contributed to the writing of 505 published articles. The average number of authors per articles was 4.49. The scientific collaboration coefficient was 0.73. Only 8 (1.5%) of articles were written by single author, and the dominant pattern in co-authorship was four-author article. There was a statistically significant difference between the gender of the first author and number of authors (P value <0.05). The number of authors was higher in articles in which the women were the first authors than in other articles.

Consequently, the scientific collaboration among authors of PJ is in appropriate level. Due to the importance of other collaboration patterns, further studies are needed on PJ to determine a more comprehensive status of scientific collaboration in this Journal and to provide effective policies to its officials.

The aim of this study was to identify semantic technologies and their importance in information retrieval in Iranian digital library software.

This applied study was descriptively performed via survey method. This paper firstly identified the components of semantic technology through documentary (libraries) method and secondly prepared a checklist on the application of semantic technology in information retrieval in digital library software based on expertschr('39') opinions and Delphi method in three sections of semantic technology architecture, semantic technology tools and semantic technology in information retrieval. Excel and SPSS 25 were used to analyze the data.

The findings have shown that the semantic technology architecture structure with an average of 43%, semantic technology tools with 59% and semantic technology with 41% are very important in digital libraries. Using semantic technologies, digital library users will be able to access the information resources they need more quickly.

As digital libraries are in the early stages of development and this is especially true in developing countries; therefore, this study has provided the checklist in the field of application of semantic technology in information retrieval in digital library software based on existing backgrounds and expertschr('39') opinions. Moreover, the current study has enabled the designers and software developers of digital library software to identify their strengths and weaknesses as well as more familiar with the criteria and components in this field and the importance of each for enjoying them in designing digital library software.

One of the applications of scientometrics is the drawing of scientific maps carried out with various techniques including co-citation. The purpose of this study was to draw the scientific map of divorce studies at the Web of Science (WoS).

This scientometric study was performed using co-citation analysis. The statistical population of the present study included all articles in the field of divorce research from 1985 to 2019, indexed in the (WoS) using the keyword “divorce” or “dissolution of marriage”. In this study, the data were extracted from the database and analyzed using VOSviewer via co-citation technique.

The results of this study showed that the scientific map of divorce studies formed three subject clusters including divorce, children and economic effects of divorce. Moreover, the United States has been the most productive country, and the words such as divorce, marriage, children and women have been the most frequent words in scientific productions.

Of the three main clusters formed in this scientific map, two ones dealt with the effects of divorce on children, indicating obviously the significance of careful attention to the children of divorce.