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.
https://crimsonpublishers.com/oabb/fulltext/OABB.000515.php
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