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Associating co-authorship patterns with publications in high-impact journals
Michael E Bales1, Daniel C Dine2, Jacqueline A Merrill3
1Department of Biomedical Informatics, Columbia University, New York City, United States; The Irving Institute for Clinical and Translational Research, Columbia University, New York City, United States.
Journal of Biomedical Informatics
|July 22, 2014
Summary
Investigating co-authorship patterns using institutional data reveals that teams including basic science authors or professors are more likely to publish in high-impact journals. This aids in mentoring researchers for greater publication success.
Area of Science:
- Bibliometrics and Scientometrics
- Research Collaboration Analysis
- Academic Publishing
Background:
- Understanding factors driving publication in high-impact journals is crucial for academic success.
- Co-authorship networks offer insights into research collaboration dynamics.
- Integrating diverse data sources can enhance bibliometric analyses.
Purpose of the Study:
- To develop a method for analyzing co-authorship patterns and author team characteristics linked to high-impact journal publications.
- To integrate public MEDLINE data with institutional scientific profile data for comprehensive analysis.
Main Methods:
- Extracted publications (2007-2011) and journal impact factors for Columbia University Medical Center researchers.
- Utilized Columbia University Scientific Profiles (CUSP) for author academic ranks and affiliations.
- Performed chi-square tests on co-authorship patterns and constructed co-authorship networks for prolific departments (2002-2011).
Main Results:
- Publications with basic science authors or professors were significantly more likely to be in high-impact journals.
- Inclusion of research scientists also correlated with high-impact publications.
- Observed departmental differences in collaboration ratios (internal vs. external) and network cohesion.
Conclusions:
- Enriching co-authorship data with author profiles reveals associations between team characteristics and high-impact publications.
- Findings can inform mentoring strategies for junior researchers aiming for high-impact publications.
- Results provide insights for evaluating academic progress in diverse disciplines within academic medical centers.
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