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Article
Publication date: 1 April 2021

Farshid Danesh, Meisam Dastani and Mohammad Ghorbani

The present article's primary purpose is the topic modeling of the global coronavirus publications in the last 50 years.

2483

Abstract

Purpose

The present article's primary purpose is the topic modeling of the global coronavirus publications in the last 50 years.

Design/methodology/approach

The present study is applied research that has been conducted using text mining. The statistical population is the coronavirus publications that have been collected from the Web of Science Core Collection (1970–2020). The main keywords were extracted from the Medical Subject Heading browser to design the search strategy. Latent Dirichlet allocation and Python programming language were applied to analyze the data and implement the text mining algorithms of topic modeling.

Findings

The findings indicated that the SARS, science, protein, MERS, veterinary, cell, human, RNA, medicine and virology are the most important keywords in the global coronavirus publications. Also, eight important topics were identified in the global coronavirus publications by implementing the topic modeling algorithm. The highest number of publications were respectively on the following topics: “structure and proteomics,” “Cell signaling and immune response,” “clinical presentation and detection,” “Gene sequence and genomics,” “Diagnosis tests,” “vaccine and immune response and outbreak,” “Epidemiology and Transmission” and “gastrointestinal tissue.”

Originality/value

The originality of this article can be considered in three ways. First, text mining and Latent Dirichlet allocation were applied to analyzing coronavirus literature for the first time. Second, coronavirus is mentioned as a hot topic of research. Finally, in addition to the retrospective approaches to 50 years of data collection and analysis, the results can be exploited with prospective approaches to strategic planning and macro-policymaking.

Article
Publication date: 15 October 2021

Nosrat Riahinia, Farshid Danesh and Somayeh GhaviDel

Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization…

Abstract

Purpose

Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.

Design/methodology/approach

The synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.

Findings

The findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.

Originality/value

In a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.

Article
Publication date: 13 February 2009

Abdol Hossein Farajpahlou and Farshid Danesh

The aim of this paper is to prepare and propose a job description for and identify the organizational position of systems librarians in university libraries in Iran.

2629

Abstract

Purpose

The aim of this paper is to prepare and propose a job description for and identify the organizational position of systems librarians in university libraries in Iran.

Design/methodology/approach

The required data were collected in two ways: literature review and survey of opinions. The respondents completed a questionnaire designed by the researchers in order to specify the skills, duties, characteristics and other qualifications of the librarians in Iranian university libraries. The material covered by the questionnaire was extracted from the existing cultural and organizational structure systems librarianship texts and their recruitment advertisements. Differences between Iranian university libraries and those of developed nations are noted. The research population included all administrators and supervisors of information sections in university libraries of Iran.

Findings

It was found that in Iran information sciences librarians require assistance from computer experts, since the IT training programme on offer does not meet the required standard. This has resulted in a reduced ability to perform their duties adequately, prompting the proposed survey for the purpose of producing a revised job description.

Practical implications

Based on the findings of this research, a job description is formulated for systems librarians in Iranian university libraries. The job description thus presented includes: responsibilities, skills, job features, factors, tools of work, condition of work environment, intellectual capabilities required, body posture, and required technologies.

Originality/value

The survey is unique in that the focus is on an Iranian systems librarian's job description based on requirements resulting from the opinions expressed by the managers and the librarians of the Iranian university libraries. Its structure therefore corresponds to the occupations widespread in Iran.

Details

The Electronic Library, vol. 27 no. 1
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 2 February 2015

Alireza Isfandyari-Moghaddam, Farshid Danesh and Nadia Hadji-Azizi

The present study aims at determining the most accredited free English electronic journals (EJs) in Medical Sciences, as finding free scholarly EJs including medical ones…

Abstract

Purpose

The present study aims at determining the most accredited free English electronic journals (EJs) in Medical Sciences, as finding free scholarly EJs including medical ones is difficult in the web environment.

Design/methodology/approach

The research population consisted of 700 free EJs of Medical Sciences, which were collected from two reputable websites, namely, Directory of Open Access Journals and Free Medical Journals. After first screening, 269 free EJs including 76 journals in health, 4 journals in nursing, 175 journals in medicine and 14 free EJs in dentistry remained for final investigation […].

Findings

The most accredited journals in four medical disciplines studied here are health: New South Wales Public Health Bulletin, PLoS Biology and Environmental Health Perspectives – National Institute of Environmental Health Sciences; nursing: Online Journal of Rural Nursing and Health Care and Online Journal of Nursing Informatics […].

Originality/value

This research can be treated as an addition to the webometrics literature.

Details

The Electronic Library, vol. 33 no. 1
Type: Research Article
ISSN: 0264-0473

Keywords

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