ArticleJournal of dental sciences2023
Bibliometric analysis of top-cited articles in Journal of Dental Sciences.
Article in Journal of dental sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global trends in dementia care research in the context of COVID-19: bibliometric analysis.Frontiers in medicine · 2024Pooled it
- Tracing Toxicity: A Scientometric Perspective on Three Decades of Metallic Pollutants Research.Journal of toxicology · 2026Article
- The literature on digital technologies for removable dental prostheses: A two-decade bibliometric analysis.Journal of dental sciences · 2025Article
- The scientometric characteristics of lichen planus in stomatology and dermatology journals: A comparative study.Journal of dental sciences · 2024Article
- A scientometric study of oral cancer research in South and Southeast Asia with emphasis on risk factors control.Journal of dental sciences · 2024Article
- A bibliometric and Altmetric analysis of the 100 top most cited articles on dentin adhesives.Clinical oral investigations · 2024Article
- Mapping out the bibliometric characteristics ofJournal of dental sciences · 2023Article
- A scientometric study of betel quid chewing and oral cancer and precancerous lesions with distinct regional characteristic.Journal of dental sciences · 2023Article
- A Bibliometric Analysis of Physical Literacy Studies in Relation to Health of Children and Adolescents.Children (Basel, Switzerland) · 2023Article
- Haptic and Force Feedback Technology in Dental Education: A Bibliometric Analysis.International journal of environmental research and public health · 2023Article
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
Background/purpose: Bibliometric analysis is a method for quantifying the article distribution, impact, and performance. The purpose of this study was to identify the most top-cited articles published in Journal of Dental Sciences (JDS) and further analyze their main characteristics. Materials and methods: Web of Science, Journal Citation Reports database was searched to retrieve the most-cited articles in JDS published from 2007 to July 31, 2022. Among the included top-cited articles, the following parameters were recorded and analyzed: article title, article type, year, country, number of citations, and average citations pre year. Microsoft Excel was applied for the descriptive bibliometric analysis. Results: 41 top-cited articles were filtered from total 1165 JDS articles in Web of Science database. The results showed that 41 top-cited articles were cited between 20 and 186 times from Journal Citation Reports. Most of the article types are original article (28/41, 68.29%) following by review article (7/41, 17.07%). The majority of articles were originated from Taiwan (23/41, 56.10%). The top 4 most cited articles were relative to the research topic on COVID-19, lateral canal, guided-tissue regeneration barriers, and platelet-rich fibrin, respectively. However, articles analyzed by the average citations per year since publication were focused on COVID-19 followed by artificial intelligence. Conclusion: This bibliometric analysis illustrates the progress and trend of researches in JDS. The results may also offer a reference for recognizing the hot issues with the most citations in JDS.
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.