Evidence map›Paper›PMID 39479375›Full record

ArticleFrontiers in pediatrics2024

Research hotspots in pediatrics: co-word clustering analysis based on readership in PubMed Central.

Fangming Deng, Wen Sun, Jiangwei Guo, Yujia Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in pediatrics, 2024. 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

4 authors.

Fangming DengEditorial Office of Chinese Journal of Contemporary Pediatrics, Xiangya Medical Academic Promotion Center, Xiangya Hospital, Central South University, Changsha, China.
Wen SunIDMED Research Lab, Beijing Intelligent Decision Medical Technology Co., Ltd., Beijing, China.
Jiangwei GuoXiangya Medical Academic Promotion Center, Xiangya Hospital, Central South University, Changsha, China.
Yujia YangEditorial Office of Chinese Journal of Contemporary Pediatrics, Xiangya Medical Academic Promotion Center, Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: By analyzing high readership articles from the Methods: Articles from the Results: The word frequency analysis and co-word analysis revealed four thematic directions that were of significant interest to researchers: (1) current public health or medical events such as COVID-19 and influenza; (2) mental health issues in children and adolescents; (3) pediatric neurological diseases and neurodevelopment; (4) diseases in preterm infants and newborns. Conclusions: This study provides pediatric researchers with a valuable perspective to understand and grasp the development dynamics and future directions in the field of pediatrics.

Indexed as

co-word analysispediatricsPubMed Centralresearch hotspotsword frequency analysis

Identifiers

PMID39479375
PMCPMC11521849

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.