ArticlePCN reports : psychiatry and clinical neurosciences2025
Mapping the landscape of mental health research through Google Trends: Bibliometric and thematic insights.
Article in PCN reports : psychiatry and clinical neurosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Mapping the landscape of mental health research through Google Trends: Bibliometric and thematic insights.PCN reports : psychiatry and clinical neurosciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: The rise of Internet usage has introduced innovative methods for public health research, particularly using Google Trends to understand mental health issues. This study aims to conduct a comprehensive bibliometric and content analysis of research utilizing Google Trends for mental health. Methods: We conducted a literature search on Scopus focusing on peer-reviewed articles from January 2010 to May 2024. Bibliometric analysis included descriptive statistics, bibliographic coupling, keyword co-occurrence, and coauthorship networks. Qualitative content analysis identified themes in the study objectives. Results: The bibliometric analysis revealed an increase in publications post-pandemic. The bibliographic coupling analysis identified the Conclusion: This study underscores the importance of Google Trends in mental health research, revealing key trends and thematic focuses. The findings contribute to understanding the current research landscape and offer a foundation for future studies leveraging digital tools for mental health insights.
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.