*Corresponding author:
Fu-Chieh Shih, Emergency, Chi-Mei Medical Center, 901 Chung Hwa Road, Yung Kung Dist , TaiwanReceived: November 14, 2017; Published: November 29, 2017
DOI: 10.26717/BJSTR.2017.01.000548
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Objective: To investigate journal features by collecting data from Medline and to visualize the journal characteristics of Bioinformatics.
Method: Selecting 11,411 abstracts, author names, countries and MESH (medical subject heading) terms by a keyword “Bioinformatics”[Journal] on October 31, 2017 from the Medline, we applied social network analysis (SNA) and Google Maps to report following features:
a. Nation distribution and coauthor collaboration,
b. Journal features represented by paper MESH terms.
We found that
a. The most number of papers are from nations of U.S. (4175, 36.58%) and Germany (1010, 8.85%)
b. The most linked MESH terms are algorithms and software.
Keywords: MESH terms; Authorship Collaboration; Google Maps; Social Network Analysis; Medline
Abstract| Introduction| Aims of the Study| Methods| Result| Discussion| Conclusion| References|
International Association of Landscape Archaeology, Czech Glass Society, Czech Republic
Department of Chemistry, Semenov Institute of Chemical Physics, USSR Academy of Sciences, Moscow, Russia
Neurology, LA BioMed Research Institute, USA
Associate Professor at Department of Breast and Thyorid Surgey, Chongqing General Hospital, China
Clinical Radiologist (MD) - Department of RADIOLOGY, Cosenza Hospital, Cosenza, Italy