Evidence map›Paper›PMID 38545042›Full record

ArticleQuantitative imaging in medicine and surgery2024

Bibliometric and visualized analysis of reporting and data systems from 2000 to 2022: research situation, global trends, and hotspots.

Yan Wang, Minghui Zhang, Li Sang, Ziyi Li, Xuemei Wang, Ziyi Yang, Zijun Yu, Zhongqing Wang, Liang Sang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Yan Wang *Department of Ultrasonography, The First Affiliated Hospital of China Medical University, Shenyang, China.
Minghui Zhang *Department of Ultrasonography, The First Affiliated Hospital of China Medical University, Shenyang, China.
Li SangDepartment of Acupuncture and Massage, Shouguang Hospital of Traditional Chinese Medicine, Shouguang, China.
Ziyi LiDepartment of Ultrasonography, The First Affiliated Hospital of China Medical University, Shenyang, China.
Xuemei WangDepartment of Ultrasonography, The First Affiliated Hospital of China Medical University, Shenyang, China.
Ziyi YangDepartment of Ultrasonography, The First Affiliated Hospital of China Medical University, Shenyang, China.
Zijun YuDepartment of Ultrasonography, The First Affiliated Hospital of China Medical University, Shenyang, China.
Zhongqing WangDepartment of Information Center, The First Affiliated Hospital of China Medical University, Shenyang, China.
Liang SangDepartment of Ultrasonography, The First Affiliated Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The reporting and data system (RADS) has been researched across the world since it was first developed. This study used bibliometrics to analyze the research trends and current status of this field over the past almost 23 years and explored possible future research hotspots. Methods: We searched the Web of Science (WOS) literature on RADSs from January 1, 2000, to November 1, 2022, and evaluated the findings visually with VOSviewer (1.6.18), CiteSpace (6.1.3), and the "bibliometrix" package in R version 4.2.1. Results: We included 6,239 publications from 88 countries and regions. The number of published has shown an overall growth trend, especially since 2016. The United States was the country with the highest number of publications and citations. The top 10 most productive institutions in RADS research were mainly from South Korea and the United States. Kim EK was the most published author, and Turkbey B had the most cited publication. Conclusions: This study provides an overview of the development status of research into RADSs over the past 23 years. Research into RADSs has included various systems of the body, with the most studied being the breast, prostate, liver, and thyroid. In terms of auxiliary diagnosis, there is an increasing amount of research into the application of AI in RADSs, which along with the interpretability of AI, will be a hotspot of research in the following years.

Indexed as

Bibliometricsreporting and data system (RADS)visualized analysisVOSviewerWeb of Science (WOS)

Identifiers

PMID38545042
PMCPMC10963830

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.