Aim: The International Endodontic Journal (IEJ) has served as a platform for research and clinical practice in Endodontics since 1967. This study provides a bibliographic analysis and overview of the publications that have appeared in the IEJ from 1967 to 2020.Methodology: A literature search was performed in Elsevier's Scopus database to locate all the publications of the International Endodontic Journal. Various bibliometric software packages including the open‐source visualization software Gephi and Biblioshiny (version 2.0) were employed for data visualization and analysis.Results: A total of 3739 records with citation and bibliographic details were selected and retrieved to allow a bibliometric analysis to be performed. The bibliometric analysis indicates that the IEJ has grown both in terms of productivity and influence. Over time, the journal has been associated with an increase in the number of manuscripts published and the citations they have attracted, but with minor downward fluctuations in citations in the last few years. Bibliographic coupling of the IEJ articles revealed that the major research themes published in the journal include ‘endodontics’, ‘root canal treatment’, ‘calcium hydroxide’, ‘apical periodontitis’, ‘mineral trioxide aggregate’, ‘microbiology’, ‘cyclic fatigue’, ‘cone‐beam computed tomography’ and ‘micro‐computed tomography’. Authors affiliated to institutions in the UK were the major contributors to the journal and were linked with other countries such as Brazil, USA and Malaysia. The largest number of publications were from the University of São Paulo, Brazil.Conclusion: The IEJ is one of the leading journals in Endodontology and has been providing a platform for innovative research and clinical reports for more than 50 years. Publications have been associated with a wide range of authors, institutions and countries around the world.

The objectives of the study were to identify the relationship between big data analytics with context-based news detection on digital media in the data age, to find out the trending approaches to detect fake news on digital media, and to explore the challenges for constructing quality big data to detect misinformation on social media. Scoping review methodology was applied to carry out a content analysis of 42 peer-reviewed research papers published in 10 world-leading digital databases. Findings revealed a strong positive correlation between quality big data analytics and fake news detection on digital media. Additionally, it was found that artificial intelligence, fact-checking sites, neural networks, and new media literacy are trending techniques to identify correct information in the age of misinformation. Moreover, results manifested that hidden agenda, the volume of fake information on digital media, massive unstructured data, the fast spread of fake news on digital media, and fake user accounts are prevalent challenges to construct authentic big data for detecting false online information on digital media platforms. Theoretically, the study has added valuable literature to the existing body of knowledge by exploring the relationship between big data analytics and context-based fake news on digital media in the data age. This intellectual piece also contributes socially by offering practical recommendations to control the cancer of fake news in society for stopping horrific perils; hence, it has a societal impact. Current research has practical applications for generators of digital media applications, policy-makers, decision-takers, government representatives, civil societies, higher education bodies, media workforce, educationists, and all other stakeholders. Recommendations offered in the paper are a roadmap for framing impactful policies to stay away from the harms of fake digital news.

Self-disclosure on social networking sites (SNSs) leads to social capital development, connectedness, and relationship building. Due to several benefits associated with this behavior, self-disclosure has become a subject of research over the last few years. The current study investigates the antecedents of self-disclosure under the lens of the technology acceptance model (TAM). The research is quantitative, and the data were collected from 400 Pakistani Facebook users with a variety of demographic characteristics. The partial least squares-structural equation model (PLS-SEM) analysis technique was employed to analyze the data. The study′s findings confirmed that perceived usefulness is a strong predictor of personal information sharing, and it along with other variables causes a 31% variation in self-disclosure behavior. However, trust (medium and social) mediates the relationshipof perceived usefulness, privacy concerns, and self-disclosure behavior.

The Arab World, a regional block of 22 countries, has been the epicenter of knowledge and innovation for many centuries. After the gap and neglect of centuries, the region is undergoing reforms that would increase scientific activities. Using the InCites tool of Clarivate Analytics, this study used bibliometric indicators of research impact and productivity to present the dynamics of the Arab World’s research published between 1980 and 2020. The findings disclose that the first two decades of the 21st century witnessed a significant increase in research productivity in the region consistent with the Arab World’s recent initiatives to promote scientific research. Saudi publications attracted the highest number of citations. Almost half of the region’s research has collaborated internationally. The region performed better than the world in several indicators like citation impact, impact factor publications, and international collaborations; however, the region’s performance lags behind the world in academic-industry collaborations and publications in Q1 journals and impact relative to the world indicators. The study recommends adopting the open access model of publishing for increased visibility and impact based on the findings. Increased attention is needed in the region to enhance research linkages between universities and industry.

This study aimed to investigate the current state of research on antibacterial dental adhesives. The interest in this field can be drawn from an increasing number of scholarly works in this area. However, there is still a lack of quantitative measurement of this topic. The main aim of this study was to consolidate the research published on the antibacterial adhesive from 1996 to 2020 in Web of Science indexed journals. The bibliometric method, a quantitative study of investigating publishing trends and patterns, was used for this study. The result has shown that a gradual increase in research was found, whereby a substantial increase was observed from 2013. A total of 248 documents were published in 84 journals with total citations of 5107. The highly cited articles were published mainly in Q1 category journals. Most of the published articles were from the USA, China, and other developed countries; however, some developing countries contributed as well. The authorship pattern showed an interdisciplinary and collaborative approach among researchers. The thematic evaluation of keywords along with a three-factor analysis showed that ‘antibacterial adhesives’ and ‘quaternary ammonium’ have been used commonly. This bibliometric analysis can provide direction not only to researchers but also to funding organizations and policymakers.

This study was conducted to measure the quality of the college library services in the Punjab Province, Pakistan, using LibQUAL survey. Data were collected from 998 respondents consisting of the college faculty and the students. The study found that none of the service quality attributes and dimensions met the desired expectations of group users as well as individual users. Significant differences in library service quality based on users’ gender, type and academic discipline were identified. This study is helpful for the Punjab Higher Education Commission (HEC), the college administrations, the college librarians at the local level and the other developing countries as well. It will guide them in future planning, contribute toward improved resource allocation and enhance purposeful utilization of resources.