Trends in biomedical informatics: automated topic analysis of JAMIA articles.

TitleTrends in biomedical informatics: automated topic analysis of JAMIA articles.
Publication TypeJournal Article
Year of Publication2015
AuthorsHan, D, Wang, S, Jiang, C, Jiang, X, Kim, H-E, Sun, J, Ohno-Machado, L
JournalJ Am Med Inform Assoc
Volume22
Issue6
Pagination1153-63
Date Published2015 Nov
ISSN1527-974X
iDASH CategoryStatistics
Abstract<p>Biomedical Informatics is a growing interdisciplinary field in which research topics and citation trends have been evolving rapidly in recent years. To analyze these data in a fast, reproducible manner, automation of certain processes is needed. JAMIA is a "generalist" journal for biomedical informatics. Its articles reflect the wide range of topics in informatics. In this study, we retrieved Medical Subject Headings (MeSH) terms and citations of JAMIA articles published between 2009 and 2014. We use tensors (i.e., multidimensional arrays) to represent the interaction among topics, time and citations, and applied tensor decomposition to automate the analysis. The trends represented by tensors were then carefully interpreted and the results were compared with previous findings based on manual topic analysis. A list of most cited JAMIA articles, their topics, and publication trends over recent years is presented. The analyses confirmed previous studies and showed that, from 2012 to 2014, the number of articles related to MeSH terms Methods, Organization & Administration, and Algorithms increased significantly both in number of publications and citations. Citation trends varied widely by topic, with Natural Language Processing having a large number of citations in particular years, and Medical Record Systems, Computerized remaining a very popular topic in all years.</p>
DOI10.1093/jamia/ocv157
Alternate JournalJ Am Med Inform Assoc
PubMed ID26555018
Grant ListK99 HG008175 / HG / NHGRI NIH HHS / United States
K99HG008175 / HG / NHGRI NIH HHS / United States
R00LM011392 / LM / NLM NIH HHS / United States
R01HG007078 / HG / NHGRI NIH HHS / United States
R21LM012060 / LM / NLM NIH HHS / United States
U54HL108460 / HL / NHLBI NIH HHS / United States