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The aim of this study is to identify the status of managing gray literature (GL) in medical science libraries in terms of three dimensions, collection development, organization and dissemination.

In this survey study, a structured questionnaire was used. The questionnaire consisted of 30 questions and consisted of six sections (demographic characteristics, the use of the term GL, types of GL, collection development, organization and dissemination). In total, 50 librarians from 15 medical science libraries participated in this study. The questionnaires were distributed manually to librarians by visiting libraries. All the librarians filled in the questionnaires. It should be noted that descriptive statistics and Excel and SPSS software were used for data analysis.

The results of using the term GL showed that 68 per cent of librarians use the source name itself. Most GL in libraries were theses (94 per cent). Moreover, a review of the status of GL collection showed that 60 per cent of libraries had written instructions for providing these resources. A total of 62 per cent of librarians stated that there is a GL selection committee in their library and the librarian is the most important member of the collection department. A total of 40 per cent of libraries were weeding GL. The most common way of obtaining GL was through deposition. The analysis of the status of GL organization indicated that 80 per cent of libraries had GL organization. A total of 90 per cent of libraries had digitized GL, and that librarians played a large role in organizing such resources. Evaluation of the dissemination of GL showed that all libraries have enabled users to access GL. In most libraries, users were only allowed to use GL in the library, and it was not possible to copy GL. Students and faculty members were the most important users of GL. Informing through the library website and the parent organization was the most important way of informing about these resources.

GL is one of the most important resources in medical and non-medical academic libraries. In this study, for the first time, the status of GL management in Iranian libraries of medical sciences was investigated. The results of this study can be useful for policymakers and managers of medical and non-medical libraries.

The purpose of this study is to carry out the demographic evaluation and analysis of the entrepreneurial orientation of librarians in Iranian public libraries using the Lumpkin and Dess model.

In this study, a structured questionnaire of entrepreneurial orientation was used. The research population consisted of 5,000 librarians of Iranian public libraries who were selected using Krejcie and Morgan table (95% confidence level and p-value of 5%) and stratified the random sampling method. A total of 365 individuals were selected as the study sample. Data were analyzed by SPSS software using descriptive statistics (frequency, percent, mean, standard deviation and standard error mean) as well as inferential statistics (Pearson correlation, one-sample t-test, independent samples t-test and ANOVA.

The results showed that the mean level of entrepreneurial orientation of librarians was 2.92 with an average level (µ = 3). Librarians were at an average level (µ = 3) in terms of components of innovativeness (2.98), risk-taking (2.93) and proactiveness (3.02). The status of the autonomy component (2.53) was at an undesirable level (3 < µ), and only the competitive aggressiveness status (3.12) was at the desirable level (3 < µ). The analysis of the librarian’s entrepreneurial orientation based on demographic characteristics indicated that the male librarian’s entrepreneurial orientation was higher than the female librarian’s (p-value = 0.039). Meantime, librarians with library and information science degrees have less entrepreneurial orientation than the librarians with other (non-librarian and information science) degrees (p-value = 0.01). Also, the higher the librarian’s degree, the lower their entrepreneurial orientation will be (p-value = 0.000). In addition, there was no significant relationship between librarians’ age (p-value = 0.14), marital status (p-value = 0.15) or work experience (p-value = 0.388) and their entrepreneurial orientation.

Entrepreneurial orientation is one of the significant concepts in entrepreneurship of organizations. Accordingly, studying the concept of entrepreneurial orientation and formulating an appropriate strategy is of great importance in improving the performance of libraries because libraries can be more useful and appealing to library members by enhancing the entrepreneurial orientation of librarians, delivering new, unique and tailor-made services to users’ needs.

Not much research has been carried out on entrepreneurship in library and information sciences. To the best of the authors’ knowledge, this is the first study to examine the entrepreneurial orientation of librarians based on their demographic characteristics.

This study aims to investigate the factors affecting the motivation of graduate students of information science in scientific and research activities and science production. This research is applied in terms of purpose and descriptive in terms of type and method.

The study's statistical population includes all postgraduate information science students studying in public universities. The random sampling method was simple. The data collection tool was a questionnaire. Descriptive statistics and one-sample t-test, independent t-test, and ANOVA were used to analyze the collected data by SPSS software.

Findings showed that all the main variables (internal motivations, external motivations, self-empowerment, and intellectual and specialized interactions) affect the participation of postgraduate students in research and scientific activities. Among the identified components, the creation of opportunities, research facilities, innovation, and formal relations between students and professors, has the most significant impact on students' motivation to participate in scientific and research activities and science production. There was no significant difference between education and age. From the results obtained from the present study, it can be said that the above variables, which were divided into four categories, with the intensity of the participation of graduate students of universities that in the present study examined the field of librarianship and information, with power and Or weakness are influential. This means that the students at the beginning of the research path, in other words, will be future researchers, should be constantly monitored as a source in the production of science.

This research is one of the few types of research that examines the influential variables in increasing the motivation to participate in the study, considering the population of postgraduate students of universities and scientific institutions as drivers of science production.

Currently, the evaluation of scientific performance of universities is one of the important indicators in various ranking systems. One way to evaluate the academic performance of universities is to analyze the scientific documents of universities in reputable international databases. The purpose of this article is to analyze and evaluate the scientific publications of Alzahra University (Iran) as the top 100–200 universities during 1986–2019.

This study was performed using bibliometrics and visualization techniques. The Scopus database was used to collect data. Affiliation search and advanced search were used to retrieve the data. Excel, VOSviewer and CRExplorer software were used to analyze the data.

The results showed that the scientific publications and received citations by Alzahra University documents during the time have been upward. At the national level, it was the most scientific collaboration with researchers at the University of Tehran. Also at the international level, the most scientific collaboration has been with the United States, Canada and Germany. In total, 80% of scientific publications were published by 20% of authors. Also, 70% of the highly cited articles were published in journals with quartile 1. Finally, clustering results showed that Alzahra University's scientific publications are in five main categories, including “chemistry,” “physics,” “biology,” “psychology and educational sciences” and “accounting sciences, management, and computer science.”

This study could be a good model for evaluating the performance of scientific productions of universities and scientific institutions with bibliometrics and visualization approaches.

The purpose of this paper is to explore webometric analysis of keywords and expressions of the biochemistry field of study via LexiURL Searcher.

Interfaces for assisting users with information access have received considerable attention. Along with the extraction of data on Web sites for webometric purposes (e.g. link analysis, ranking of Web sites, etc.), LexiURL Searcher presents some information on the arrangement of links among different Web sites. Such capability enables users to identify one or more Web sites around their intended subject and, accordingly, explore all Web sites linked with their identified Web site(s). LexiURL Searcher has preceded webometric analysis by considering the main expressions and keywords derived from the MeSH database.

The worldwide survey indicated that links from countries such as England, Japan, Germany, Australia and Canada were among the Web sites that are most used in biochemistry. Alternatively, other countries such as Singapore, Thailand and Poland had the most advantageous links to the outside world, whereas South Africa, New Zealand and The Netherlands had the least link effect. Biochemistry, being a specialized domain, would benefit greatly from site linking and would provide users the most assistance in information processing.

Most webometric studies remain on the level of link analysis and Web site statuses; however, this paper gives information on the common thread Web sites based on a standard thesaurus.

Predicting highly cited papers can enable an evaluation of the potential of papers and the early detection and determination of academic achievement value. However, most highly cited paper prediction studies consider early citation information, so predicting highly cited papers by publication is challenging. Therefore, the authors propose a method for predicting early highly cited papers based on their own features.

This research analyzed academic papers published in the Journal of the Association for Computing Machinery (ACM) from 2000 to 2013. Five types of features were extracted: paper features, journal features, author features, reference features and semantic features. Subsequently, the authors applied a deep neural network (DNN), support vector machine (SVM), decision tree (DT) and logistic regression (LGR), and they predicted highly cited papers 1–3 years after publication.

Experimental results showed that early highly cited academic papers are predictable when they are first published. The authors’ prediction models showed considerable performance. This study further confirmed that the features of references and authors play an important role in predicting early highly cited papers. In addition, the proportion of high-quality journal references has a more significant impact on prediction.

Based on the available information at the time of publication, this study proposed an effective early highly cited paper prediction model. This study facilitates the early discovery and realization of the value of scientific and technological achievements.