Depression, anxiety, and burnout in academia: topic modeling of PubMed abstracts DOI Creative Commons
Olga Lezhnina

Frontiers in Research Metrics and Analytics, Journal Year: 2023, Volume and Issue: 8

Published: Nov. 27, 2023

The problem of mental health in academia is increasingly discussed literature, and to extract meaningful insights from the growing amount scientific publications, text mining approaches are used. In this study, BERTopic, an advanced method topic modeling, was applied abstracts 2,846 PubMed articles on depression, anxiety, burnout published years 1975–2023. BERTopic a modular technique comprising embedding method, dimensionality reduction procedure, clustering algorithm, weighing scheme for representation. A model selected based proportion outliers, interpretability considerations, coherence diversity metrics, inevitable subjectivity criteria discussed. with 27 topics explored visualized. evolved differently time: research papers students' pandemic-related anxiety medical residents' peaked recent years, while publications psychometric or internet-related problems yet be presented more amply. study demonstrates use analyzing literature sheds light areas field addressed by further research.

Language: Английский

Landscaping the digital twin technology: Patent-based networks and technology reference model DOI

Kiseo Sung,

Kyu Tae Park, Hakyeon Lee

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 206, P. 123576 - 123576

Published: July 8, 2024

Language: Английский

Citations

2

Opportunities and Threats of Adopting Digital Twin in Construction Projects: A Review DOI Creative Commons

Maoying Wang,

Mojtaba Ashour, Amir Mahdiyar

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(8), P. 2349 - 2349

Published: July 30, 2024

Digital twin (DT) is recognized as a pillar in the transition from traditional to digital construction, yet risks (opportunities and threats) associated with its implementation have not been thoroughly determined literature. In addition, there scarcity of research relating DT maturity levels, which has hindered optimum consideration such when adopted at different levels. To address these gaps, this study conducted literature review 1889 documents Scopus Web Science databases. After rigorous filtration, 72 were selected comprehensively reviewed. A total 47 risk factors (RFs) identified categorized into opportunities (economic, technical, environmental sustainability, monitoring safety, management) threats policy management). Subsequently, RFs mapped onto five-level model, providing users insights on each level. The exhaustive list proposed integration model corresponding enables stakeholders identify their specific use cases facilitate decision-making success across various levels real-life construction projects.

Language: Английский

Citations

2

Insights into Sustainability and Circular Economy Trends in Luxury Fashion: A LinkedIn Topic Modelling Study DOI Creative Commons
Aya Abdelmeguid, G. P. Tsironis, Mohamed Afy-Shararah

et al.

Cleaner and Responsible Consumption, Journal Year: 2024, Volume and Issue: 15, P. 100228 - 100228

Published: Sept. 24, 2024

Language: Английский

Citations

2

Digital twins: A scientometric investigation into current progress and future directions DOI

Harshpreet Kaur,

Munish Bhatia

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 125917 - 125917

Published: Dec. 1, 2024

Language: Английский

Citations

2

Depression, anxiety, and burnout in academia: topic modeling of PubMed abstracts DOI Creative Commons
Olga Lezhnina

Frontiers in Research Metrics and Analytics, Journal Year: 2023, Volume and Issue: 8

Published: Nov. 27, 2023

The problem of mental health in academia is increasingly discussed literature, and to extract meaningful insights from the growing amount scientific publications, text mining approaches are used. In this study, BERTopic, an advanced method topic modeling, was applied abstracts 2,846 PubMed articles on depression, anxiety, burnout published years 1975–2023. BERTopic a modular technique comprising embedding method, dimensionality reduction procedure, clustering algorithm, weighing scheme for representation. A model selected based proportion outliers, interpretability considerations, coherence diversity metrics, inevitable subjectivity criteria discussed. with 27 topics explored visualized. evolved differently time: research papers students' pandemic-related anxiety medical residents' peaked recent years, while publications psychometric or internet-related problems yet be presented more amply. study demonstrates use analyzing literature sheds light areas field addressed by further research.

Language: Английский

Citations

6