ReviewFrontiers in research metrics and analytics2021
Research Progress and Model Construction for Online Health Information Seeking Behavior.
Review in Frontiers in research metrics and analytics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed, 13 citations in OpenAlex.
- Knowledge, attitudes, and practices of adult patients with myopia toward refractive surgery and postoperative medications: a cross-sectional study.Frontiers in medicine · 2026Article
- Health Information Seeking and Behavior in the Korean Population During the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2025Article
- Understanding the preference of online health information seeking among college students using the best-worst scaling method.Frontiers in public health · 2025Article
- The use of internet for health information by hospitalised patients in Switzerland and Qatar: a comparative cross-sectional study.Journal of pharmaceutical policy and practice · 2025Article
- How Health Anxiety is Associated with Perceived Risk of Reinfection Among COVID-19 Infected People After the Epidemic Control Measures Lifted in China: A Multiple Mediating and Multi-Group Analysis.Psychology research and behavior management · 2024Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Under the background of coronavirus disease 2019 (COVID-19), online health information seeking has become one of the most important information needs of the public and even the only channel for health information seeking in this special period. A review of the research on online health information-seeking behavior will help give full play to the previous academic research, further emphasize the necessity of online health information-seeking research, and promote the development of research in this field. This study firstly presents the research overview of online health information-seeking behavior by using the informetric method. Secondly, an overview is carried out from the perspective of online health information platforms, groups, quality, satisfaction, etc., to explore the influencing factors and their relationships in the process of online health information seeking. On this basis, the existing behavioral models are integrated and sorted out to build a new behavioral theoretical model in line with the current online health information seeking.
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.