*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|