Mining Online Author’s Publication to Report the Core Research Domain with PubMed MeSH Terms: a Systematic Review for a Journal
Open Access Biostatistics & Bioinformatics , Volume 1, pp 1-9; https://doi.org/10.31031/oabb.2018.01.000515
Abstract: 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 Submission: April 16, 2018;Published: April 25, 2018 DOI: 10.31031/OABB.2018.01.000515 ISSN: 2578-0247Volume1 Issue3 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 Keywords or short phrases can assist indexers to cross-index an article of interest. However, author-defined keywords are not as common or accurate as MeSH (medical subject headings) terms used by researchers in search of bioinformatics [1,2], but authors are often required by their target journal to provide three to ten keywords that represent the main content of the article for an article [3-7]. MeSH terms, developed by the National Library of Medicine (NLM), are manually assigned to each document by biomedical subject specialists based on the context of the whole document . Usually, MeSH processing is not finished until at least a half year after a paper published in Medline, but new MeSH vocabulary is annually added. MeSH terms contain high-density and well-defined information the whole article which cannot be inferred merely by reading the title and the Our review of the relevant literature revealed no studies that have applied MeSH terms to identify author research domains (RDs). Our online mining approach will improve the ability of authors to objectively report their RDs when using increasingly large and complex PubMed data. Scientific publication is one of the objective measurements to evaluate the achievements of a medical specialty or discipline . Many journals are included in the Thomson Reuters Science Citation Index (SCI). Since the advent of bibliometrics, citation analysis has been widely used in many disciplines to evaluate the influence of academic articles [9-17]. Social network analysis (SNA) [18-20] is used to define authors, journals, or papers as the “nodes” of a network connecting to another node with a relationship represented as an edge [21,22]. Several algorithms and measures have been developed and used with SNA to graphically explore data. When our aim is set to investigate whether any author or paper most fits the research domain of a journal and its scope within the journal’s MeSH network, centrality measures can be applied , which means that the core subject can be analyzed using the centrality measure [23,24]. We aimed to report prestigious authors, and prestigious papers contributed to a journal, both of which we can use to retrospectively (i) calculate a journal’s past SCI IFs and (ii) show graphical representations of the RD for the author and the journal within the network of MeSH terms. We downloaded 2,053 abstracts based on the journal of medical internet research (JMIR) from the US NLM of Health (Pubmed. com) since 1999(July 1st) to 2017(April 3th), Their corresponding 1st authors, MeSH terms, and cited-by papers along with the journal names were extracted from the online website using an...
Keywords: social network analysis / Journal / SNA / Papers and Authors / Mining Online / Papers Contributed / Retrospectively / SCI IFs / prestigious authors
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