Evidence map›Paper›PMID 35793141›Full record

ArticleJournal of medical Internet research2022

Digital Health Literacy: Bibliometric Analysis.

Keng Yang, Yekang Hu, Hanying Qi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 11 pooled it
41.5field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

96 citing papers in PubMed, 11 syntheses or guidelines pooled it, 166 citations in OpenAlex.

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  20. Bibliometric analysis of oncology communication from 1976 to 2025: a focus on narrative medicine.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Review

36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Keng Yang *Institute of Economics, Tsinghua University, Beijing, China.ORCID 0000-0001-7518-6004
Yekang HuChina National Health Development Research Center, Beijing, China.ORCID 0000-0002-6096-6419
Hanying QiThe New Type Key Think Tank of Zhejiang Province "Research Institute of Regulation and Public Policy", Zhejiang University of Finance and Economics, Hangzhou, China.ORCID 0000-0002-5762-9024
China National Health Development Research Center · CNInstitute of Economics · CNZhejiang University of Finance and Economics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health is growing at a rapid pace, and digital health literacy has attracted increasing attention from the academic community.

objectiveThe purposes of this study are to conduct a systematic bibliometric analysis on the field of digital health literacy and to understand the research context and trends in this field.

methodsMethods: A total of 1955 scientific publications were collected from the Web of Science core collection. Institutional co-operation, journal co-citation, theme bursting, keyword co-occurrence, author co-operation, author co-citation, literature co-citation, and references in the field of digital health literacy were analyzed using the VOSviewer and CiteSpace knowledge mapping tools.

resultsThe results demonstrate that the United States has the highest number of publications and citations in this field. The University of California System was first in terms of institutional contributions. The Journal of Medical Internet Research led in the number of publications, citations, and co-citations. Research areas of highly cited articles in the field of digital health literacy mainly include the definition and scale of health literacy, health literacy and health outcomes, health literacy and the digital divide, and the influencing factors of health literacy.

conclusionsWe summarized research progress in the field of digital health literacy and reveal the context, trends, and trending topics of digital health literacy research through statistical analysis and network visualization. We found that digital health literacy has a significant potential to improve health outcomes, bridge the digital divide, and reduce health inequalities. Our work can serve as a fundamental reference and directional guide for future research in this field.

Indexed as

Biomedical ResearchHealth LiteracyBibliometricsHumansPublicationsUnited StatesbibliometricsCiteSpacedigital dividedigital health literacyeHealthVOSviewer

Identifiers

PMID35793141
PMCPMC9301558
OpenAlexW4284701494

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.