Collaboration Spotting for oral medicine

Area of Science:

• Biomaterials Science
• Oral Medicine
• Regenerative Medicine
• Bibliometrics

Background:

• Oral medicine research involves complex collaborations and evolving technologies.
• Assessing the state-of-the-art and identifying key players is crucial for research advancement.
• Existing methods for mapping research landscapes can be time-consuming and lack dynamic visualization.

Purpose of the Study:

• To develop an automated system, Collaboration Spotting, for mapping scientific and patent landscapes.
• To identify key entities (players, technologies) and visualize collaborations within a specific technological domain.
• To apply the system to oral medicine, focusing on bone regeneration technologies.

Main Methods:

• Utilized a keyword-based logical filter to extract publications from the Web of Science database.
• Expert validation of extracted publication lists.
• Data processed by an automated software system at CERN to generate interactive Sociogram and Technogram maps.

Main Results:

• Successfully generated Sociograms for technologies related to bone regeneration in oro-maxillo-facial defects.
• Studied the use of porous hydroxyapatite as a bone substitute and scaffold for mesenchymal stem cells.
• The generated interactive maps are accessible online.

Conclusions:

• The Collaboration Spotting system provides an automated method for visualizing research landscapes.
• The system serves as a valuable tool for researchers and organizations to assess the state-of-the-art and research contributions.
• Demonstrated utility in oral medicine, with plans to expand coverage for a comprehensive reference tool.