نشریه علم سنجی کاسپین
سال هشتم شماره 2 (پاییز و زمستان 1400)

For any progress, countries need scientific outputs, and that is only possible through research. Therefore, the aim of this study was to analyze the status of scientific outputs of Qom University in the Web of Science (WoS), emphasizing scientific collaboration and mapping co-authorship networks.

This applied documentary study was conducted using scientometric techniques and social network analysis. The research population was 1222 documents of scientific outputs of Qom University indexed in the WoS from 2002 to 2019. Data were analyzed using Excel, Bib Excel, Isi.exe, SPSS 25, UCINET as well as descriptive and analytical statistics. Netdraw software was used to map the network, and the Spearman test was applied to identify the relationship between research variables.

Findings showed that the trend of scientific outputs of Qom University in the studied years was upward, and the growth rate of total scientific outputs of this university was 39%. Most scientific outputs were in the fields of chemistry, engineering and mathematics, and 90% of the indexed documents were research articles. In terms of co-authorship pattern, three co-authors were the most one so that the most collaboration was with universities of Islamic Azad, Soran in Iraq and Payam-e-Noor as well as with countries of the United States, Iraq and Australia. Nasrullahzadeh, Ehsani and Bayat had the highest centrality in terms of index, closeness and intermediate, respectively. Moreover, the density of the network was 0.004, and there was a significant and direct relationship between scientific outputs and centrality indicators.

In terms of growth rate, the scientific outputs of Qom University have no desirable condition, and in terms of co-authorship pattern, three co-authors are the most one.

Self-citation occurs when the author cites his/her own previous scientific works. The purpose of this study was to investigate the effect of self-citation on the H- index of faculty members of the top 5 engineering universities in Iran based on the Scopus database.

This applied study was conducted using scientometric method. The statistical population was 303 faculty members of universities (Sharif, Amirkabir University of Technology, Isfahan University of Technology, Iran University of Science & Technology, Babol Noshirvani University of Technology) with an H-index of more than 20 in the Scopus during 2015-2019. The data were analyzed in Excel and SPSS-19, and the Spearman correlation test was applied to determine the relationship between the variables.

The results showed that the faculty members of mechanics, materials and chemical engineering had the highest index with 1376, 1248 and 1176 articles before the removal of self-citation, respectively. Moreover, after the removal of self-citation, the mentioned fields of study had a high H-index with 1271, 1183 and 1087 articles, respectively. After removing the self-citation of the chemistry field with a decrease of 112 units, the most and least change was related to the field of architecture with a decrease of 2 units in the H-index; the highest and lowest impacts of the H-index after removing the citations were related to Noshirvani University and Sharif University, respectively. In addition, it was found there was a significant relationship between the self-citation of the faculty members and the number of articles in the study population.

The results of the study indicated that self-citation in Sharif University and Babol Noshirvani University of Technology had the least and most impact on the H-index of faculty members.

Altmetrics indicators can be used alongside traditional bibliometric concepts based on citation analysis to evaluate the impact of scientific publications via the web. The aim of this study was to analyze the presence of articles of Hamadan University of Medical Sciences in social media to determine the interests of the researchers via social media.

This descriptive study was performed using Altmetric indicators. The statistical population of the study included 3757 research outputs, published by faculty members and researchers of Hamadan University of Medical Sciences in the Scopus citation database from 1992 to the end of 2018. No sampling was performed and all the research outputs were included in the study as a sample size. Excel and SPSS were used to analyze the data.

The results showed that out of 3757 research outputs, 665 outputs (18%) were shared at least once in tools and social networks and had Altmetrics Attention Scores (AAS). Mendeley was one of the most-mentioned social media sites (631 articles, 16.79%). In terms of professional status, Mendeley readers were mostly master students (4594 people). In total, users in more than 64 countries tweeted the research outputs 9707 times. There was a significant positive relationship between Altmetric indicators and citation numbers of the research outputs (P<0.001).

Social media has a positive effect on societal impact and increases the citation rate of scientific research outputs. Therefore, the affiliated researchers can increase their citations, impact and visibility by sharing their work on social media, particularly Mendeley.

Drawing the scientific collaboration maps is very important for analyzing and identifying scientific collaborations in different subject areas of science. Therefore, the aim of this was to scientometrically analyze intellectual capital articles and draw the scientific collaboration map in this area.

This applied study was performed using a scientometric approach. The statistical population of the study included 2077 intellectual capital articles indexed in the Web of Science (WoS) citation database during 1985-2018. In addition, the VOSviewer software was used to draw the scientific collaboration maps of authors, countries, journals, organizations and keyword co-occurrences.

The findings showed that the publication and citation trend of the intellectual capital articles in the WoS was ascending; Dumay with 30 citations and 620 documents and Bontis with14 documents and 463 citations. The most cited authors, countries, universities, journals and keywords in this field were in the following order: Countries including United States (361 documents and 5745 citations), the United Kingdom (199 documents and 3492 citations) and Spain (171 documents and 1591 citations); Universities like Macquarie University of Australia (32 documents and 467 citations) and McMaster University of Canada (26 documents and 697 citations); Journals such as Intellectual Capital (127 documents), Knowledge Management Research and Practice (53 documents), Management Decision (881 citations) and Expert Systems with Applications (786 citations); and keywords of Capital (901 documents and 11229 citations), Intellectual (817 documents and 9041citations) and Knowledge (267 documents and 2763 citations). Moreover, the keyword co-occurrence map was more coherent than the co-citation and co-authorship map of the authors, universities, countries and journals.

Citation and scientific collaboration in the intellectual capital articles despite the upward trend is weak; therefore, policymakers in this field should make the necessary plans to improve and strengthen scientific collaboration.

One of the main indicators of the development of a science discipline is the scientific outputs and articles. The aim of this study was to investigate the characteristics of articles published in the Politics Quarterly, Journal of University of Tehran from spring 2013 to winter 2020.

The population of this systematic review study included 274 articles published in the study period. First, the data were collected using a comprehensive form for summarizing, and the information was extracted based on four criteria: form, structure, method and content of articles as well as totally 19 indicators.

Findings showed that according to the criteria of the research form, 91.2% of the authors were male, and the faculty members of the University of Tehran with 55.1% had the highest share in publishing articles. The academic rank of the first author of 48.9% of the articles was assistant professor. Based on the structure of the research, the title of 62.7% of the articles was very relevant to the content. In terms of the structured abstract, 71.5 articles fell into the "low structured" range. In terms of the comprehensiveness of the components of the article, 55.8% were in the "low" range. Based on the results, 81.7% of the articles were interpretive and 80.6% of them used the documentary technique. Totally, 79.1% did not use a method to analyze the data and 84.6% did not use a method to validate the findings. According to the content criterion, 35.4% of the articles were aimed at commentary and 35.4% were in the field of political thought. Moreover, 82.8% were not review articles and 33.9% did not mention the theoretical framework.

The results of the current study indicated that the reviewed articles had problems in terms of form, structure, method and content. These problems are more in the structure and method of articles.

The effects of academic inbreeding on research productivity in each higher education system can be different. Thus, the aim of this study was to analyze the research productivity of inbred and non-inbred faculty members in the top three universities in Iran.

This quantitative descriptive study was performed using the scientometric method. The study population included inbred and non-inbred faculty members with the academic rank of assistant professor in the top three universities of Iran in the Shanghai ranking system based on an index of research productivity in three disciplinary areas of technical engineering, medical sciences and human-social sciences. Data were collected from the Scopus database.

The findings showed that inbred faculties (26%) had more publications than non-inbred ones. Furthermore, the citations and H-index of publications of inbred faculties were 24.4% and 5.1%, which were more than those of non-inbred ones, respectively. Non-inbred faculties compared to inbred ones were more successful in attracting research funding. Inbred faculties (40.26%) were more willing to intra-organizational collaboration and non-inbred faculties (13.54%) were more willing to collaborate internationally.

Overall, the results of this study indicated that the scientific effectiveness of inbred faculties was higher than that of non-inbred faculties. Moreover, the rate of obtaining funding for non-inbred faculties was higher than inbred faculties, and eventually, inbred faculties tended to collaborate within an organization, while non-inbred faculties tended to collaborate at the international level.

Meaning theories have been used in many sciences, including philosophy, computer science, library and information sciences psychology and linguistics due to their specific nature and the way they look at the content and meaning of the message. The aim of this study was to review the published documents, draw and analyze the structure of the scientific map of the outputs of sense-making and semantic theories through lexical coherence analysis in the Scopus database.

This descriptive and applied study was conducted to investigate and evaluate the international scientific products related to sense-making and semantic theories based on a scientometric approach. The statistical population of this study was all articles published and related to this field.

Based on the data obtained from the Scopus database, a scientific map of this field was drawn, and it was found that the scientific structure of meaning theories consisted of four main thematic clusters. Moreover, “meaning, management, interview and student” were the main words in this field. In this area, the publication of scientific outputs had a growing trend so that the United States, the United Kingdom and Australia had the most scientific output. The Universities of Sussex and Oxford in the United Kingdom had the highest output in this area.

This study not only expressed the important lexical relationships of top individuals and organizations as well as the growth and type of outputs in this field but also indicated the most widely used and most referenced thematic areas of meaning theories. In addition, there was no correlation between different fields of science in the application of meaning theory and meaning in general, and gaps were observed in the scientific structure of this field.

Scientific infrastructures of societies would be mainly constructed in universities and academic environments. As a result, considering research outputs and performances in academic departments are of high significance. The current study aimed at investigating the research outputs of Iran’s top universities as mentioned in social media on the COVID-19 pandemic.

Scientometric (Quantity and Scientific productions) and Altmetric (Mentions Bookmarks and altmetric scores) indices were considered as the research methodology. The population of this study was COVID-19 research outputs of the Scopus database from the top universities of Iran including Tehran University, Shahid Beheshti University, Tarbiat Modares University, Allameh Tabataba’i University, Isfahan University, Shiraz University, Ferdowsi University of Mashhad and Tabriz University in 2020. Data were collected from the Scopus and Altmetric Explorer databases and were analyzed using the descriptive statistics and Spearman correlation test.

The University of Tehran had the highest rank with 1409 research outputs on the COVID-19. The highest international cooperation was made with the United States, Britain and Canada, respectively. The major social media used were Twitter and Mendeley. The results of the Spearman correlation test revealed that there was a statistically significant relationship between citation index and altmetric score (p-value< 0/05) regarding the research outputs of Tehran University, Shahid Beheshti University, Shiraz University and Ferdowsi University of Mashhad.

Publications receiving more citations are not necessarily mentioned in social media.

The aim of this study was to investigate the research portfolio of different Iranian industries in various quantitative and qualitative aspects and the effect of financial support and scientific collaboration on these researches.

This study was conducted using a documentary method based on a scientometric approach. The population of the research consisted of Iranian industries’ scientific publications from 2010 to 2019, indexed in the Web of Science (WoS) (n=4902 documents). The organizational address label was used to identify the type of organizations in the WoS, and the “International Standard Industrial Classification of all Economic Activities (ISIC)” was applied to classify industries. In order to calculate the growth rate, the “exponential growth rate” was utilized.  Data were statistically analyzed using Chi-square and independent
t-tests.

The growth rate of these researches was about 0.097 during this period. The most collaboration of Iranian industries was with national (4056 documents) and foreign (1054 documents) universities, and the least collaboration was with foreign government organizations (82 documents), and foreign industries (50 documents). Most of those scientific publications were in the class of “Manufacturing” (42%), “Mining and Quarrying” (20%) and “Electricity and Gas Supply” (10%), respectively.

Financial supports affect the quality of research and in other words, citations received documents. However, the citation index for each document based on collaborative organizations had no significant difference.

Utilizing scientometric techniques to acquire an in-depth understanding of research on knowledge workers is a novel approach that can provide a comprehensive understanding of a wide range of published articles and research for researchers. The aim of this study was to analyze and map international scientific outputs in the realm of knowledge workers.

This applied research was performed using scientometric method through co-authorship and co-word analysis. This study examined 1976 articles on knowledge workers, indexed in the Web of Science from 1929 to 2021. These articles were analyzed using descriptive statistics methods in VOSviewer, PreMap, and BibExcel software.

There has been an upward trend in publishing articles on knowledge workers in the last ten years. According to the maps derived from the analysis of the studied documents, business economics, occupational health of the public environment and computer science were the most commonly used subjects in researching knowledge workers internationally. This study showed that the scientific map of knowledge workers consisted of 7 thematic clusters. The clusters were occupational characteristics of knowledge workers, contextual factors of the work environment, occupational maintenance factors, characteristics of communication between employees, health, motivational factors, knowledge management and general aspects of knowledge work, respectively.

Drawing co-word mapping in different studied periods indicated changes and constants in concepts and terms related to the field of knowledge workers. The paradigm was examined to identify the evolution of keywords, changed from focusing on the main factors of the difference between knowledge workers and other workers to psychological factors related to workers and motivational factors for retaining these workers.