Evidence map›Paper›PMID 40584533›Full record

SynthesisFrontiers in neurology2025

Social participation of stroke patients: a bibliometric analysis.

Jiaqing Yan, Yancheng Wang, Liang Zhang, Ping Chen, Nini Yang, Hongbo Zhang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology, 2025. 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. Review
  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

6 authors.

Jiaqing YanDepartment of Nursing, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China.
Yancheng WangDepartment of Nursing, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China.
Liang ZhangDepartment of Nursing, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China.
Ping ChenDepartment of Nursing, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China.
Nini YangDepartment of Nursing, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China.
Hongbo ZhangDepartment of Nursing, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Research on social functioning rehabilitation in stroke patients has received significant attention. In this study, we performed a bibliometric analysis using CiteSpace to examine publications focuses on post-stroke social participation between 2000 and 2025. Methods: Literature related to social participation of stroke patients was retrieved from the Web of Science Core Collection from January 1, 2000, to March 28, 2025, and the number of articles, countries, institutions, authors, references, and keywords were visualized and analyzed using Microsoft Office Excel and CiteSpace software. Results: The final analysis included836 publications, demonstrating a steady increase in annual publications over the 25-year period. Among contributing authors, Ng, Shamay S. M. demonstrated the highest productivity (20 publications). The United States and La Trobe University were the leading contributing countries and institutions. Conclusion: This 25-year bibliometric analysis of post-stroke social participation research identifies priority areas for future studies.

Indexed as

bibliometricsocial participationstrokevisual analysisWoS database

Identifiers

PMID40584533
PMCPMC12202427

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.