Using Data Mining to Explore Calmodulin Bibliography.

Area of Science:

• Bibliometrics and scientometrics
• Scientific literature analysis
• Research field mapping

Background:

• Managing and synthesizing large volumes of scientific literature presents a significant challenge.
• Identifying influential researchers and understanding the thematic structure of a research field is crucial for comprehensive reviews.

Purpose of the Study:

• To present a strategy for approaching and analyzing scientific fields using bibliometric data.
• To demonstrate the application of social network analysis methods to scientific literature.
• To highlight the utility of VOSviewer for research landscape exploration.

Main Methods:

• Utilized bibliometric data from the Web of Science database.
• Applied social network analysis techniques to map connections within the literature.
• Employed the VOSviewer software for visualization and analysis.

Main Results:

• Developed a structured approach to analyze vast numbers of scientific articles.
• Enabled the identification of key opinion leaders within a specific research domain (calmodulin field).
• Facilitated the mapping of research themes and the positioning of individual research topics.

Conclusions:

• The proposed strategy effectively structures scientific fields for review and analysis.
• VOSviewer is an accessible tool for researchers, requiring minimal computational expertise.
• This method aids in understanding the dynamics and key players within scientific communities.