Evidence map›Paper›PMID 38415119›Full record

ArticleQuantitative imaging in medicine and surgery2024

Global trends in neonatal MRI brain neuroimaging research over the last decade: a bibliometric analysis.

Shengfang Xu, Jinlong Zhang, Songhong Yue, Jifang Qian, Dalin Zhu, Yankai Dong, Guangyao Liu, Jing Zhang

Open access · diamondAbstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
8.9field-weighted citation impact, top 3% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Considerations for conducting developmental neuroimaging research on mental health topics.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  3. Review
  4. Review
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

8 authors at 5 institutions in 1 country.

Shengfang Xu *Second Clinical School, Lanzhou University, Lanzhou, China.
Jinlong Zhang *Pulmonary and Critical Care Medicine, The 940th Hospital of the Joint Logistic Support Force of the People's Liberation Army, Lanzhou, China.
Songhong YueSecond Clinical School, Lanzhou University, Lanzhou, China.
Jifang QianMedical Imaging Center, Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, China.
Dalin ZhuMedical Imaging Center, Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, China.
Yankai DongDepartment of Cardiovascular Surgery, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Guangyao LiuDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China.
Jing ZhangSecond Clinical School, Lanzhou University, Lanzhou, China.
Lanzhou University · CNGansu Provincial Maternal and Child Health Hospital · CN117th Hospital of People's Liberation Army · CNGuangzhou University of Chinese Medicine · CNLanzhou University Second Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neuroimaging plays a central role in the evaluation, treatment, and prognosis of neonates. In recent years, the exploration of the developing brain has been a major focus of research for researchers and clinicians. In this study, we conducted bibliometric and visualization analyses of the related studies in the field of neonatal magnetic resonance imaging (MRI) brain neuroimaging from the past 10 years, and summarized its research status, hotspots, and frontier development trends. Methods: The Web of Science core collection database was used as the literature source from which to retrieve the relevant papers and reviews in the field of neonatal MRI brain neuroimaging published in the Science Citation Index-Expanded from 2013 to 2022. VOSviewer and CiteSpace were used to conduct bibliometric and visualization analyses of the annual publication volume, countries, institutions, journals, authors, co-cited literature, and the overall distribution of keywords. Results: We retrieved 3,568 papers and reviews published from 2013 to 2022. The number of publications increased during this period. The United States (US) and the United Kingdom were the largest contributors, with the US receiving the highest H-index and number of citations. The institutions that published the most were the University of London and Harvard University. The research mainly focused on cerebral cortex, brain tissue, brain structure network, artificial intelligence algorithm, automatic image segmentation, and premature infants. Conclusions: This study reveals the research status and hotspots of magnetic resonance imaging in the field of neonatal brain neuroimaging in the past decade, which helps researchers to better understand the research status, hotspots, and frontier development trends.

Indexed as

bibliometricsmagnetic resonance imaging (MRI)Neonatalneuroimagingvisualization analysis

Identifiers

PMID38415119
PMCPMC10895092
OpenAlexW4391258599

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.