Evidence map›Paper›PMID 41729417›Full record

ArticleDiscover mental health2026

A bibliometric analysis of research on child development and digital addiction.

Sırma Seda Bapoğlu Dümenci, Ruhigül Turan

Abstract read
In one paragraph

Article in Discover mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Sırma Seda Bapoğlu DümenciDepartment of Child Development, Faculty of Health Sciences, Tarsus University, Tarsus, Turkey. sedadumenci@tarsus.edu.tr.
Ruhigül TuranDepartment of Child Development, Faculty of Health Sciences, Tarsus University, Tarsus, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This bibliometric analysis examined 223 articles on digital addiction and child development indexed in the Web of Science database. The first study was published in 2013, but a noticeable increase in publications has occurred only recently, with an annual average of 77 articles until 2025. The literature exhibits a balanced and collaborative production structure, with Turkey emerging as the most productive country (118 publications), followed by the United States (27) and China (20). Akdeniz University was the most productive institution with seven publications. Research predominantly clusters within mental health, psychology, and education disciplines, with psychiatry (13.90%) and psychology (13.45%) forming the core. Bibliographic coupling analysis revealed five interrelated clusters, indicating thematic differentiation anchored in a shared citation base. Keyword analysis identified five clusters, with dominant themes including addiction-related outcomes, various forms of digital addiction in children, mental health, developmental processes, and age-based categorizations. The study highlights the need for integrative research approaches and international collaboration to address gaps in the literature. Limitations include the use of a single database and the restricted depth of content analysis. Future research should incorporate different databases, conduct longitudinal and multidisciplinary studies, and evaluate the effectiveness of intervention and preventive programs.

Indexed as

Bibliometric analysisChild developmentDigital addiction

Identifiers

PMID41729417
PMCPMC13035975

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.