An author topic analysis on NCI DCP/DCCPS PIs
Pages 607 - 608
Abstract
To facilitate the cancer study at Mayo Clinic, Mayo CPC (Cancer Population Control) initiated a study on the landscape of NCI funded principle investigators (PIs), who focus on cancer preventions, cancer control and population science. In this work, we conducted a bibliometric analysis on such research by applying author topic modeling (ATM) on MEDLINE citations published by currently-funded PIs from both DCP (Division of Cancer Preventions) and DCCPS (Division of Cancer Control and Population Science. Our initial results show that ATM can address the issue of research interests reasonably. Furthermore, a network involving authors, topics and words can be established for more detailed bibliometric analysis. This network may also be useful to grantees and funding administrators in suggesting potential collaborators.
References
[1]
M. Rosen-Zvi, T. Griffiths, M. Steyvers, and P. Smyth. The author-topic model for authors and documents. In Proceedings of the 20th conference on Uncertainty in artificial intelligence, pages 487--494. AUAI Press, 2004.
[2]
M. Steyvers and T. Griffiths. Matlab topic modeling toolbox 1.4. URL http://psiexp. ss. uci. edu/research/programs-data/toolbox. htm, 2011.
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- An author topic analysis on NCI DCP/DCCPS PIs
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Published: 20 September 2014
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