Estimating the size of fields in biomedical sciences.

Area of Science:

• Biomedical Sciences
• Bibliometrics
• Microbiology

Background:

• Scientific research output is rapidly increasing, but methods to quantify field size and growth are lacking.
• Understanding field dynamics is crucial for allocating human resources effectively in scientific research.
• Current methods for assessing field size often rely on anecdotal evidence.

Purpose of the Study:

• To develop and validate a bibliometric method for estimating the size of biomedical research fields.
• To analyze the relationship between field size, public health burden, and workforce allocation.
• To provide a quantitative approach for understanding self-regulation and resource distribution in science.

Main Methods:

• Utilized PubMed database to extract publication data.
• Counted unique author names associated with specific research fields (e.g., microbiology subfields).
• Correlated unique author counts over time with field growth and public health data (e.g., disease cases).

Main Results:

• Unique author counts effectively estimate the size of research fields.
• Significant variations in subfield sizes were observed within microbiology.
• The number of unique investigators in a field generally correlates with the public health burden of the associated topic.
• Field size dynamics, indicated by unique author counts over time, reflect growing or shrinking fields.

Conclusions:

• Unique author counts provide a robust metric for measuring research field size and workforce.
• The study demonstrates a correlation between the medical importance of microbes and the size of their corresponding research fields.
• This bibliometric approach can inform resource allocation, policy-making, and understanding of scientific field self-regulation.