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1.
J Biomol Tech ; 34(1)2023 03 31.
Artículo en Inglés | MEDLINE | ID: mdl-37089873

RESUMEN

We analyzed co-authorship patterns within the National Institutes of Health Center of Biomedical Research Excellence in Matrix Biology program from 2014 to 2022. In this study, we analyzed junior investigators, senior researchers, and research scientists within a shared core facility. Social network analysis techniques were applied to evaluate the co-authorship network based on journal publications from members of the center. The results indicated that co-authorship network visualization and analysis is a useful tool for understanding the relationship between a shared core facility and young investigators within a research center. Young investigators collaborated with and relied upon the individual research scientists of the shared core facility to serve as contributing members of their extended research team. This reliance on the shared core facility effectively increases the size and productivity of the research team led by the young investigator. Our results indicate that shared core facility staff may serve as hubs within the network of biomedical researchers, particularly at institutions with a growing research emphasis. Listen to this article.


Asunto(s)
Investigación Biomédica , Estados Unidos , Humanos , Autoria , Investigadores , National Institutes of Health (U.S.) , Eficiencia
2.
Artículo en Inglés | MEDLINE | ID: mdl-37860748

RESUMEN

The National Institutes of Health Institutional Development Award Programs support the establishment and growth of biomedical research infrastructure in states that receive a low level of federal funding for biomedical research. The purpose of this investigation was to analyze the growth in research productivity over time. This program fostered an environment in which a biomedical research program could be developed and allowed to grow at Boise State University, a primarily undergraduate institution. The growth of the biomedical research community can be visualized through social network analysis.

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