Trends in stroke-related journals: Examination of publication patterns using topic modeling.
J Stroke Cerebrovasc Dis
; 33(6): 107665, 2024 Jun.
Article
em En
| MEDLINE
| ID: mdl-38412931
ABSTRACT
OBJECTIVES:
This study aims to demonstrate the capacity of natural language processing and topic modeling to manage and interpret the vast quantities of scholarly publications in the landscape of stroke research. These tools can expedite the literature review process, reveal hidden themes, and track rising research areas. MATERIALS ANDMETHODS:
Our study involved reviewing and analyzing articles published in five prestigious stroke journals, namely Stroke, International Journal of Stroke, European Stroke Journal, Translational Stroke Research, and Journal of Stroke and Cerebrovascular Diseases. The team extracted document titles, abstracts, publication years, and citation counts from the Scopus database. BERTopic was chosen as the topic modeling technique. Using linear regression models, current stroke research trends were identified. Python 3.1 was used to analyze and visualize data.RESULTS:
Out of the 35,779 documents collected, 26,732 were classified into 30 categories and used for analysis. "Animal Models," "Rehabilitation," and "Reperfusion Therapy" were identified as the three most prevalent topics. Linear regression models identified "Emboli," "Medullary and Cerebellar Infarcts," and "Glucose Metabolism" as trending topics, whereas "Cerebral Venous Thrombosis," "Statins," and "Intracerebral Hemorrhage" demonstrated a weaker trend.CONCLUSIONS:
The methodology can assist researchers, funders, and publishers by documenting the evolution and specialization of topics. The findings illustrate the significance of animal models, the expansion of rehabilitation research, and the centrality of reperfusion therapy. Limitations include a five-journal cap and a reliance on high-quality metadata.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Publicações Periódicas como Assunto
/
Processamento de Linguagem Natural
/
Bibliometria
/
Acidente Vascular Cerebral
/
Mineração de Dados
Limite:
Animals
/
Humans
Idioma:
En
Revista:
J Stroke Cerebrovasc Dis
Assunto da revista:
ANGIOLOGIA
/
CEREBRO
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Estados Unidos