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Selection mechanisms underlying high impact biomedical research--a qualitative analysis and causal model
Hilary Zelko1, Guilherme Roberto Zammar, Ana Paula Bonilauri Ferreira
1Department of Surgery, Duke University, Durham, North Carolina, United States of America.
Plos One
|May 19, 2010
Summary
High-impact research relies on researcher heuristics, peer feedback, communication skills, psychological traits, and leveraging serendipity. These factors create a system that can be optimized for broader scientific impact.
Area of Science:
- Biomedical Research
- Scientific Innovation
- Publication Impact
Background:
- Limited understanding of high-impact publication generation from researchers' viewpoints.
- Focus on identifying mechanisms behind consistent high-impact output by a select group of researchers.
Purpose of the Study:
- To explore researchers' perspectives on the mechanisms driving the development of high-impact publications.
- To identify factors contributing to the consistent production of influential scientific work.
Main Methods:
- Qualitative interviews with researchers known for high-impact publications.
- Grounded Theory approach for data analysis and model development.
- Translation of qualitative findings into a System Dynamics mathematical model.
Main Results:
- Identification of five key themes: researcher heuristics, positive peer/mentor feedback, effective communication, motivating psychological attributes, and the role of randomness/serendipity.
- Development of an explanation model integrating these themes to represent high-impact research generation.
- Observation that successful researchers actively leverage randomness and serendipity.
Conclusions:
- The identified mechanisms offer insights for developing research coaching programs.
- Proposed selection mechanism can inform policy models to enhance high-impact research broadly.
- Findings support optimizing research strategies for greater institutional and governmental impact.
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