Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

A visual and bibliometric analysis of Parkinsons disease biomarker research

View through CrossRef
Objectives: Biomarker research in Parkinsons lacks a systematic bibliometric review, despite a growing body of bibliometric studies. This study aimed to analyze publications on biomarkers that may play an important role in the diagnosis and treatment of Parkinsons disease. Materials and Methods: In the study, bibliometric methods were used to analyze the related research in depth. Data were obtained from the Web of Science Core Collection database. Specific keywords consisting of MeSH terms were used as search criteria. The search was conducted in English and the type of publication was selected as article. Microsoft Excel, VOS viewer and the visualization and analytical capabilities of the Biblioshiny R package were used in the analysis, providing a versatile approach to achieve the study objectives. Results: A total of 461 articles on Parkinsons disease biomarkers published between 2002 and 2023 in 170 journals met the criteria and were analyzed. Regarding publications and citations, the year 2022 stood out. Each document had an average of 6.28 co-authors. The main contributing countries were the United States, China and Italy, with a global co-authorship rate of 30.8%. Notable institutions included the University of Washington, Ruhr University Bochum and the Paracelsus Elena Clinic. "Journal of Neurochemistry," was the journal with the most publications. Through their total link strength, prominent terms such as "Parkinsons disease", "biomarker" and "alpha-synuclein" showed significant occurrences and thematic relevance. Conclusion: The present study presents the inaugural bibliometric evaluation of biomarkers in Parkinsons disease. The gradual increase of papers since 2012 indicates persistent scholarly interest and foretells continued significance over the following ten years. Future research will be aided by the study's depiction of biomarker patterns, which provides insightful information. The term "Alpha-synuclein" stood out, highlighting its relevance in our research.
Title: A visual and bibliometric analysis of Parkinsons disease biomarker research
Description:
Objectives: Biomarker research in Parkinsons lacks a systematic bibliometric review, despite a growing body of bibliometric studies.
This study aimed to analyze publications on biomarkers that may play an important role in the diagnosis and treatment of Parkinsons disease.
Materials and Methods: In the study, bibliometric methods were used to analyze the related research in depth.
Data were obtained from the Web of Science Core Collection database.
Specific keywords consisting of MeSH terms were used as search criteria.
The search was conducted in English and the type of publication was selected as article.
Microsoft Excel, VOS viewer and the visualization and analytical capabilities of the Biblioshiny R package were used in the analysis, providing a versatile approach to achieve the study objectives.
Results: A total of 461 articles on Parkinsons disease biomarkers published between 2002 and 2023 in 170 journals met the criteria and were analyzed.
Regarding publications and citations, the year 2022 stood out.
Each document had an average of 6.
28 co-authors.
The main contributing countries were the United States, China and Italy, with a global co-authorship rate of 30.
8%.
Notable institutions included the University of Washington, Ruhr University Bochum and the Paracelsus Elena Clinic.
"Journal of Neurochemistry," was the journal with the most publications.
Through their total link strength, prominent terms such as "Parkinsons disease", "biomarker" and "alpha-synuclein" showed significant occurrences and thematic relevance.
Conclusion: The present study presents the inaugural bibliometric evaluation of biomarkers in Parkinsons disease.
The gradual increase of papers since 2012 indicates persistent scholarly interest and foretells continued significance over the following ten years.
Future research will be aided by the study's depiction of biomarker patterns, which provides insightful information.
The term "Alpha-synuclein" stood out, highlighting its relevance in our research.

Related Results

Bibliometric Analysis Bibliometric Analysis of Research (1980-2023)
Bibliometric Analysis Bibliometric Analysis of Research (1980-2023)
The concept of bibliometric analysis, in addition to seeing the developments in any scientific field over a certain period of time, also provides information about where the scient...
A REVIEW ON IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN PARKINSONS DISEASE & ITS FUTURE OUTCOMES FOR PARKINSONS DISEASE
A REVIEW ON IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN PARKINSONS DISEASE & ITS FUTURE OUTCOMES FOR PARKINSONS DISEASE
Over the centurys, increasingly sophisticated tools have been developed to serve humanity. In many ways, digital computers are just another tool. You can perform the same number an...
Two Decades of Bibliometric Research in Indonesia
Two Decades of Bibliometric Research in Indonesia
Bibliometric research in Indonesia is essential to do for exploring trends and understanding the knowledge base of bibliometric research from the perspective of globally indexed pu...
PARKINSON’S DISEASE DETECTION THROUGH VOICE SIGNALS
PARKINSON’S DISEASE DETECTION THROUGH VOICE SIGNALS
The primary Parkinsons disease (PD) is a disorder of the central nervous system and about 89% of the people with PD suffering from speech and voice disorders. In this project, we a...

Back to Top