Evidence map›Paper›PMID 42788090›Full record

ArticleTurkish journal of orthodontics2026

Bibliometric Mapping of Digitalization in Orthodontics: Evaluating Scientific Contributions, Collaboration Networks, and Future Directions.

Damla Dalman Şimşek

Abstract read
In one paragraph

Article in Turkish journal of orthodontics, 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

1 author.

Damla Dalman ŞimşekUşak University Faculty of Dentistry, Department of Orthodontics, Uşak, Türkiye.ORCID 0000-0002-7585-5746

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To map scholarly trends in digital orthodontics by quantifying publication growth, identifying influential contributors and collaboration networks, and delineating emerging research themes. Methods: A bibliometric analysis was conducted using the records published between January 2000 and May 2024 from the Web of Science Core Collection; VOSviewer was used to analyze co-authorship networks, keyword co-occurrence, institutional productivity, and citation patterns. Results: A total of 1,567 publications were analyzed. Research output markedly increased after 2020 and peaked in 2023. The United States, Italy, and China were the leading contributing countries. Key institutions included Peking University, Radboud University, and the University of São Paulo. The most frequently cited authors were Xu, Kuijpers-Jagtman, and Lo Giudice. Major thematic clusters were centered on three-dimensional printing, artificial intelligence, and digital modeling. Conclusion: In recent years, digital orthodontics research has considerably accelerated, thus expanding international collaboration and rapid technological innovation. A limitation of this study is that coverage may differ from that of multi-database approaches. In addition, future bibliometric assessments should be complemented by qualitative appraisals and clinical outcome- oriented evaluations to strengthen translational relevance.

Indexed as

artificial intelligencebibliometricscollaboration networksDigital orthodontics

Identifiers

PMID42788090
PMCPMC13614156

What OpenQuestion holds

Textmetadata
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.