A Bibliometric Analysis and Visualization of Medical Big Data Research

With the rapid development of “Internet plus”, medical care has entered the era of big data. However, there is little research on medical big data (MBD) from the perspectives of bibliometrics and visualization. The substantive research on the basic aspects of MBD itself is also rare. This study aims to explore the current status of medical big data through visualization analysis on the journal papers related to MBD. We analyze a total of 988 references which were downloaded from the Science Citation Index Expanded and the Social Science Citation Index databases from Web of Science and the time span was defined as “all years”. The GraphPad Prism 5, VOSviewer and CiteSpace softwares are used for analysis. Many results concerning the annual trends, the top players in terms of journal and institute levels, the citations and H-index in terms of country level, the keywords distribution, the highly cited papers, the co-authorship status and the most influential journals and authors are presented in this paper. This study points out the development status and trends on MBD. It can help people in the medical profession to get comprehensive understanding on the state of the art of MBD. It also has reference values for the research and application of the MBD visualization methods.

[1]  Henry G. Small,et al.  Co-citation in the scientific literature: A new measure of the relationship between two documents , 1973, J. Am. Soc. Inf. Sci..

[2]  P. Robinson,et al.  The effect of education and experience on self-employment success , 1994 .

[3]  Byoung-Tak Zhang,et al.  Balancing Accuracy and Parsimony in Genetic Programming , 1995, Evolutionary Computation.

[4]  FARIDEH OSAREH,et al.  Bibliometrics, Citation Analysis and Co-Citation Analysis: A Review of Literature I , 1996, Libri.

[5]  Krzysztof J. Cios,et al.  Uniqueness of medical data mining , 2002, Artif. Intell. Medicine.

[6]  Chaomei Chen,et al.  CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature , 2006, J. Assoc. Inf. Sci. Technol..

[7]  Lutz Bornmann,et al.  What do we know about the h index? , 2007, J. Assoc. Inf. Sci. Technol..

[8]  Ludo Waltman,et al.  Software survey: VOSviewer, a computer program for bibliometric mapping , 2009, Scientometrics.

[9]  Yan Gao,et al.  A journal co-citation analysis of library and information science in China , 2011, Scientometrics.

[10]  Kevin W. Boyack,et al.  Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? , 2010 .

[11]  Stephan von Haehling,et al.  Cachexia as a major underestimated and unmet medical need: facts and numbers , 2010, Journal of cachexia, sarcopenia and muscle.

[12]  Francisco Herrera,et al.  Science mapping software tools: Review, analysis, and cooperative study among tools , 2011, J. Assoc. Inf. Sci. Technol..

[13]  Patrick Neven,et al.  Assessment of letrozole and tamoxifen alone and in sequence for postmenopausal women with steroid hormone receptor-positive breast cancer: the BIG 1-98 randomised clinical trial at 8·1 years median follow-up. , 2011, The Lancet. Oncology.

[14]  Chaomei Chen,et al.  Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace , 2012, Expert opinion on biological therapy.

[15]  Ara Darzi,et al.  Preparing for precision medicine. , 2012, The New England journal of medicine.

[16]  Avita Katal,et al.  Big data: Issues, challenges, tools and Good practices , 2013, 2013 Sixth International Conference on Contemporary Computing (IC3).

[17]  Antonio Pulgarín,et al.  Viewing information literacy concepts: a comparison of two branches of knowledge , 2013, Scientometrics.

[18]  Gang-hoon Kim,et al.  Potentiality of Big Data in the Medical Sector: Focus on How to Reshape the Healthcare System , 2013, Healthcare informatics research.

[19]  Darcy A. Davis,et al.  Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework , 2013, Journal of General Internal Medicine.

[20]  José M. Merigó,et al.  A bibliometric analysis of operations research and management science , 2017 .

[21]  T. Murdoch,et al.  The inevitable application of big data to health care. , 2013, JAMA.

[22]  D. Bates,et al.  Big data in health care: using analytics to identify and manage high-risk and high-cost patients. , 2014, Health affairs.

[23]  Fabrício F. Costa.  Big data in biomedicine. , 2014, Drug discovery today.

[24]  A. Philippakis,et al.  Acquisition, Analysis, and Sharing of Data in 2015 and Beyond: A Survey of the Landscape , 2015, Journal of the American Heart Association.

[25]  Shahriar Akter,et al.  How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study , 2015 .

[26]  J. Merigó,et al.  A bibliometric overview of the Journal of Business Research , 2016 .

[27]  Harald Binder,et al.  Big data in medical science--a biostatistical view. , 2015, Deutsches Arzteblatt international.

[28]  Heidi L. Rehm,et al.  Building the foundation for genomics in precision medicine , 2015, Nature.

[29]  Tao Huang,et al.  Promises and Challenges of Big Data Computing in Health Sciences , 2015, Big Data Res..

[30]  D. Longo,et al.  Precision medicine--personalized, problematic, and promising. , 2015, The New England journal of medicine.

[31]  Michael G. Alles.  Drivers of the Use and Facilitators and Obstacles of the Evolution of Big Data by the Audit Profession , 2015 .

[32]  Benjamin W. Wah,et al.  Significance and Challenges of Big Data Research , 2015, Big Data Res..

[33]  Yue Wang,et al.  Evolutionary features of academic articles co-keyword network and keywords co-occurrence network: Based on two-mode affiliation network , 2016 .

[34]  Iman Tahamtan,et al.  Factors affecting number of citations: a comprehensive review of the literature , 2016, Scientometrics.

[35]  Yiannis Kouropalatis,et al.  Mapping knowledge and innovation research themes: using bibliometrics for classification, evolution, proliferation and determinism , 2016 .

[36]  M. Hammer.  Precision Medicine and the Changing Landscape of Research Ethics. , 2016, Oncology nursing forum.

[37]  Francisco Veloso,et al.  Using co-authorship and citation analysis to identify research groups: a new way to assess performance , 2016, Scientometrics.

[38]  José M. Merigó,et al.  Academic research in innovation: a country analysis , 2016, Scientometrics.

[39]  M. Hamaker,et al.  Patient-Centered Outcome Measures in Lung Cancer Trials , 2016, Lung.

[40]  Samah W. Al-Jabi,et al.  Bibliometric analysis of publications on Campylobacter: (2000–2015) , 2016, Journal of Health, Population and Nutrition.

[41]  Vahid Garousi,et al.  Citations, research topics and active countries in software engineering: A bibliometrics study , 2016, Comput. Sci. Rev..

[42]  D. Wishart.  Emerging applications of metabolomics in drug discovery and precision medicine , 2016, Nature Reviews Drug Discovery.

[43]  I. Díaz,et al.  Use of H-Index and Other Bibliometric Indicators to Evaluate Research Productivity Outcome on Swine Diseases , 2016, PloS one.

[44]  Huchang Liao,et al.  Visualization and quantitative research on intuitionistic fuzzy studies , 2016, J. Intell. Fuzzy Syst..

[45]  Huchang Liao,et al.  A Bibliometric Analysis of Fuzzy Decision Research During 1970–2015 , 2016, International Journal of Fuzzy Systems.

[46]  Lucio Bertoli-Barsotti,et al.  A theoretical model of the relationship between the h-index and other simple citation indicators , 2017, Scientometrics.

[47]  Kian Fan Chung,et al.  Personalised medicine in asthma: time for action , 2017, European Respiratory Review.

[48]  D. Železnik,et al.  A bibliometric analysis of the Journal of Advanced Nursing, 1976–2015 , 2017, Journal of advanced nursing.

[49]  Andy Wai Kan Yeung,et al.  A bibliometric review of research trends in neuroimaging , 2017 .

[50]  Changyong Liang,et al.  Visualizing the knowledge structure and evolution of big data research in healthcare informatics , 2017, Int. J. Medical Informatics.

[51]  José M. Merigó,et al.  Thirty Years of the International Journal of Intelligent Systems: A Bibliometric Review , 2017, Int. J. Intell. Syst..

[52]  M. Kayaalp.  Patient Privacy in the Era of Big Data , 2017, Balkan medical journal.

[53]  Joseph Martin,et al.  Big data, big future. , 2020, BioTechniques.