ReviewRisk management and healthcare policy2022
Virtual Learning During the COVID-19 Pandemic: A Bibliometric Review and Future Research Agenda.
Review in Risk management and healthcare policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A bibliometric analysis of research on the learning environment in medical schools: trends, gaps, and global perspectives.Frontiers in medicine · 2026Pooled it
- Sustainable action is needed more than ever: the European Society for Child and Adolescent Psychiatry welcomes the efforts of the European Commission and the decisions of the European Parliament on mental health care for children, adolescents and young people and calls on the Member States to act quickly.European child & adolescent psychiatry · 2024Article
- Lymphangiogenesis: A new strategy for heart disease treatment (Review).International journal of molecular medicine · 2024Review
- Implementation of a Student-Teacher-Based Blended Curriculum for the Training of Medical Students for Nasopharyngeal Swab and Intramuscular Injection: Mixed Methods Pre-Post and Satisfaction Surveys.JMIR medical education · 2023Article
- Impact of the internet on English language learning among university students: mediating role of academic self-efficacy.Frontiers in psychology · 2023Article
- Remote Learning in Higher Education: Evidence from Poland.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Virtual learning has emerged as a powerful platform for students and academicians in the "new normal" owing to the availability of advanced technological tools and platforms. Recently, considerable literature has grown up around the role of digital and remote technologies in learning and teaching during the ongoing COVID-19 pandemic. However, the research evidence on this topic is still fragmented, requiring a synthesis of this rapidly growing literature. This study aims to assess the key research trends in virtual learning during the COVID-19 pandemic through a bibliometric analysis of 1595 studies from 589 journals during 2020-21. Our study highlights the influential aspects, such as the most contributing countries, journals, authors, and keywords in this research field. We identified the following four main research trends: 1) challenges in online learning and blended learning strategies; 2) student-centered, collaborative learning, and curriculum design; 3) home-based laboratory learning; and 4) teachers' professional competence and interdisciplinary learning. We conclude this research by discussing the implications for regulators and educational institutions, and directions for future research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.