TY - JOUR
T1 - Trends in biomedical informatics
T2 - Automated topic analysis of JAMIA articles
AU - Han, Dong
AU - Wang, Shuang
AU - Jiang, Chao
AU - Jiang, Xiaoqian
AU - Kim, Hyeon Eui
AU - Sun, Jimeng
AU - Ohno-Machado, Lucila
N1 - Publisher Copyright:
© The Author 2015.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - 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.
AB - 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.
KW - Bioinformatics
KW - Biomedical informatics
KW - Citation analysis
KW - Medical subject headings
KW - Tensor factorization
UR - http://www.scopus.com/inward/record.url?scp=84954239460&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84954239460&partnerID=8YFLogxK
U2 - 10.1093/jamia/ocv157
DO - 10.1093/jamia/ocv157
M3 - Article
C2 - 26555018
AN - SCOPUS:84954239460
SN - 1067-5027
VL - 22
SP - 1153
EP - 1163
JO - Journal of the American Medical Informatics Association
JF - Journal of the American Medical Informatics Association
IS - 6
ER -