Evidence map›Paper›PMID 39035324›Full record

ArticleJournal of dental sciences2024

A bibliometric study on research trends and hotspots of recurrent aphthous stomatitis.

Xuan Xiao, Zhaocheng Shi, Zhifeng Song, Shangfeng Liu

Abstract read
In one paragraph

Article in Journal of dental sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Xuan XiaoDepartment of Oral Mucosa, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Zhaocheng ShiDepartment of Oral Mucosa, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Zhifeng SongDepartment of Oral Mucosa, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Shangfeng LiuShanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/purpose: Recurrent aphthous stomatitis (RAS) is a common oral mucosal disease. Despite a variety of scientific articles have been available till date, merely a few scientometric analyses have been systematically carried out in this field. The objective of this study was to recognize the hotspots and research trends related to RAS via bibliometric approach. Materials and methods: The Elsevier's Scopus database was searched to retrieve qualified literature through an advanced search strategy on 9 Feb 2023. The basic information was collected as following: article type, publication year, journals, impact factor, the count of citations, citation density, keywords, authors, contributing institutions and country. Results: A list of 986 publications were identified from 1933 to 2022, and the number of citations for each paper varied from 0 to 283. A steady increasing trend in the number of documents could be observed each decade with the summit in 2010s. Controlled study (n = 334) and major clinical study (n = 192) were the most common types of study design. Scully C (n = 26) was identified as the most productive author. United States (n = 166) and Turkey (n = 101) top the list of dedicating countries. Conclusion: This report would offer profound insight into the current status of RAS research and serve as a reference source for anyone planning to enhance the quality of future work.

Indexed as

BibliometricsCitation analysisRecurrent aphthous stomatitisResearch trends

Identifiers

PMID39035324
PMCPMC11259632

What OpenQuestion holds

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Registered trials

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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.