An author topic analysis on NCI DCP/DCCPS PIs

Dingcheng Li, Janet Okamoto, Hongfang Liu, Scott Leischow

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To facilitate the cancer study at Mayo Clinic, Mayo CPC (Can- cer Population Control) initiated a study on the landscape of NCI funded principle investigators (PIs), who focus on cancer preven- Tions, 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 Pre- ventions) 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 involv- ing 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.

Original languageEnglish (US)
Title of host publicationACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
PublisherAssociation for Computing Machinery
Pages607-608
Number of pages2
ISBN (Electronic)9781450328944
DOIs
StatePublished - Sep 20 2014
Externally publishedYes
Event5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM BCB 2014 - Newport Beach, United States
Duration: Sep 20 2014Sep 23 2014

Publication series

NameACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics

Other

Other5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM BCB 2014
Country/TerritoryUnited States
CityNewport Beach
Period9/20/149/23/14

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Software
  • Biomedical Engineering

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