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Abstract

Open Access Biostatistics & Bioinformatics

Mining Online Author’s Publication to Report the Core Research Domain with PubMed MeSH Terms: a Systematic Review for a Journal

  • Open or Close Chien Cheng Huang1,2 and Tsair Wei Chien3,4*

    1Chang Jung Christian University, Taiwan

    2Chi-Mei Medical Center, Taiwan

    3Department of Medical Research, Chi-Mei Medical Center, Taiwan

    4Department of Hospital and Health Care Administration, Chia-Nan University of Pharmacy and Science, Taiwan

    *Corresponding author: Tsair Wei Chien, Department of Hospital and Health Care Administration, Chia-Nan University of Pharmacy and Science, Tainan, Department of Medical Research, Chi-Mei Medical Center, 901 Chung Hwa Road, Yung Kung Dist, Tainan 710, Taiwan, Email: smile@mail.chimei.org.tw

Submission: April 16, 2018; Published: April 25, 2018

DOI: 10.31031/OABB.2018.01.000515

ISSN: 2578-0247
Volume1 Issue3

Abstract

Background: Identifying an author’s research domain (RD) using MeSH (Medical Subject Headings) terms is essential for a journal’s development and its readership, but no journal uses mining online methods or social network analysis (SNA) to extract journal publication information to report an author’s contributions.

Objective: To select prestigious authors and papers that have contributed most to a journal, we retrospectively (1) calculated an SCI (Science Citation Index) journal’s most recent impact factors (IF) and (2) used graphical representations that include MeSH terms of RDs for authors and journals.

Methods: We collected 2,053 papers published between July 1, 1999, and April 3, 2017, in the Journal of Medical Internet Research (JMIR) and cited by 673 journals, for which we also collected annual IFs for 394 SCI journals, including the JMIR. The prestigious authors and JMIR papers based on the weight of the 5-year SCI IFs from 394 cited-by papers in 2015. The JMIR core aims and scope are presented using major MeSH terms based on their corresponding average weighted scores. Social network analysis was used to create a graphical RD pattern for JMIR, and its prestigious papers and authors.

Results: All JMIR 5-year IFs have not been less than 2.9 for the past 14 years. The authors who contributed most to JMIR in a number of publications and weighted citations are Gunther Eysenbach and My Hua. Their cohesion measures (ranging from 0 to 1.0) to JMIR are 34% and 5.7%, respectively. The highest prestige weighted contribution among papers published in JMIR is the one (PMID: 23567935 /DOI: 10.2196/jmir.2324) with a cohesion measure of 4.5%.

Conclusion: An author’s research domain is required with an essential and graphical presentation along with the author’s submission to the target journal. Journal editors also look forward to evaluating an author’s research domain and the submitted paper’s cohesion measure for the journal.

Keywords: Research domain; MeSH terms; Cohesion measure for a journal; Social network analysis; Science Citation index; Impact factor

Abbreviations: BC: Betweenness Centrality; CR: Concentration Ratio; EDA: Exploratory Data Analysis; HHI: Herfindahl Hirschman Index; IDA: Initial Data Analysis; IF: Impact Factor; JCR: Journal Citation Reports; JMIR: Journal of Medical Internet Research; MeSH: Medical Subject Headings; NLM: National Library of Medicine; RD: Research Domain; SCI: Sciences Citation Index; SNA: Social Network Analysis; SSCI: Social Sciences Citation Index; VBA: Visual Basic for Applications

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