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Publication trends and knowledge maps of global translational medicine research

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Abstract

Translational medical research literatures have increased rapidly in last decades and there have been fewer attempts or efforts to map global research context of translational medical related research. The main purpose of this study is to evaluate the global progress and to assess the current quantitatively trends on translational medical research by using a scientometric approach to survey translational medicine related literatures in Science Citation Index Expanded (SCI-E), Social Science Citation Index and PubMed database from 1992 to 2012. The scientometric methods and knowledge visualization technologies were employed in this paper. The document types, languages, publication patterns, subject categories, journals, geographic and institutional distributions, top cited papers, and the distribution of keywords as well as MeSH terms were thoroughly examined. Translational medicine research has increased rapidly over past 20 years, most notably in the last 4 years. In total, there are currently 3,627 research articles in 1,062 journals listed in 91 SCI-E subject categories. The top 20 productive countries and institutes were analyzed herein, where 11 key papers in translational medical research and research foci were identified. Research outputs descriptors have suggested that the presence of a solid development in translational medical research, where research in this field has mainly focused on experimental medicine, general internal medicine, and medical laboratory technologies. All these outcomes have been concentrated in several journals such as Translational Research, Translational Oncology, Translational Stroke Research, and Translational Neuroscience. G7 countries make up the leading nations for translational medical research, where the center is located in USA. American institutions have made great advances in paper productions, citations, and cooperation, with overall great strengths and good development prospects. Moreover, the evolution pathway of translational medical research has been summarized as bellows: problems emerged, causes analyzed, challenges faced and solutions proposed, translational medical research programs been formally established, theoretical and applied research, all of which was in full swing. During this process, neoplasms and genomics, interdisciplinary communication between academic medical centers/institutes, drug design and development, cardiovascular and brain diseases, and even biomedical research have been identified as mainstream topics in translational medical research fields.

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References

  • Arunachalam, S., & Doss, M. J. (2000). Mapping international collaboration in science in Asia through coauthorship analysis. Current Science, 79, 621–628.

    Google Scholar 

  • Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics, 64, 351–374.

    Article  Google Scholar 

  • Brander, C., Ferrone, S., & Marincola, F. M. (2006). Rewarding patient-directed research: Excellence in Translational Medicine Award. Journal of Translational Medicine, 4, 19.

    Article  Google Scholar 

  • Campanario, J. M., Carretero, J., Marangon, V., Molina, A., & Ros, G. (2011). Effect on the journal impact factor of the number and document type of citing records: A wide-scale study. Scientometrics, 87, 75–84.

    Article  Google Scholar 

  • Chen, K. H., & Guan, J. C. (2011). A bibliometric investigation of research performance in emerging nanobiopharmaceuticals. Journal of Informetrics, 5, 233–247.

    Article  Google Scholar 

  • Chen, W., Chen, S., Qi, D. C., Gao, X. Y., & Wee, A. T. S. (2007). Surface transfer p-type doping of epitaxial graphene. Journal of the American Chemical Society, 129, 10418–10422.

    Article  Google Scholar 

  • Chow, L. W. (2010). Gene expression profiles as an additional tool to conventional predictive factors to assist in management of early endocrine responsive breast cancer. Expert Opinion on Investigational Drugs, 19(Suppl 1), S13–S17.

    Article  Google Scholar 

  • Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62, 1382–1402.

    Article  Google Scholar 

  • Contopoulos-Ioannidis, D. G., Ntzani, E., & Ioannidis, J. P. (2003). Translation of highly promising basic science research into clinical applications. America Journal Medina, 114, 477–484.

    Google Scholar 

  • CTSAs Advice (2012). [Internet]. About CTSAs. http://www.gloucestershire.police.uk/counterterrorism/CTSAs%20Advice/item3983.html.

  • Damani, S. B., & Topol, E. J. (2011). Emerging clinical applications in cardiovascular pharmacogenomics. Wiley Interdisciplinary Reviews. Systems Biology and Medicine, 3, 206–215.

    Article  Google Scholar 

  • Debucquoy, A., Machiels, J. P., McBride, W. H., & Haustermans, K. (2010). Integration of epidermal growth factor receptor inhibitors with preoperative chemoradiation. Clinical Cancer Research: An Official Journal of the American Association for Cancer Research, 16, 2709–2714.

    Article  Google Scholar 

  • Dillon, D. A., Howe, C. L., Bosari, S., & Costa, J. (1998). The molecular biology of breast cancer: Accelerating clinical applications. Critical Reviews in Oncogenesis, 9, 125–140.

    Article  Google Scholar 

  • Dougherty, D., & Conway, P. H. (2008). The “3T’s” road map to transform US health care: The “how” of high-quality care. JAMA: The Journal of the American Medical Association, 299, 2319–2321.

    Article  Google Scholar 

  • Drolet, B. C., & Lorenzi, N. M. (2011). Translational research: Understanding the continuum from bench to bedside. Translational Research: The Journal of Laboratory and Clinical Medicine, 157, 1–5.

    Article  Google Scholar 

  • Editor. (1968). Phagocytes and the “bench-bedside interface”. New England Journal of Medicine, 278, 1014–1016.

    Article  Google Scholar 

  • Enachescu, C., & Postelnicu, T. (2003). Patterns in journal citation data revealed by exploratory multivariate analysis. Scientometrics, 56, 43–59.

    Article  Google Scholar 

  • Faba-Perez, C., Guerrero-Bote, V. P., & De Moya-Anegon, F. (2003). Data mining in a closed Web environment. Scientometrics, 58, 623–640.

    Article  Google Scholar 

  • Feuerstein, G. Z., & Chavez, J. (2009). Translational medicine for stroke drug discovery: The pharmaceutical industry perspective. Stroke, 40, S121–S125.

    Article  Google Scholar 

  • FitzGerald, G. A. (2010). Perestroika in pharma: Evolution or revolution in drug development? The Mount Sinai Journal of Medicine, New York, 77, 327–332.

    Article  Google Scholar 

  • Freemantle, N., Cleland, J., Young, P., Mason, J., & Harrison, J. (1999). beta Blockade after myocardial infarction: Systematic review and metal regression analysis. BMJ, 318, 1730–1737.

    Article  Google Scholar 

  • Garcia, D., Hopewell, J., Liebman, A. K., & Mountain, K. (2012). The migrant clinicians network: Connecting practice to need and patients to care. Journal of Agromedicine, 17, 5–14.

    Article  Google Scholar 

  • Garfield, E. (1990). KeyWords PlusTM: ISIS breakthrough retrieval method. 1. Expanding your searching power on current-contents on diskette. Current Contents, 32, 5–9.

    Google Scholar 

  • Geraghty, J. (1996). Adenomatous polyposis coli and translational medicine. Lancet, 348, 422.

    Article  Google Scholar 

  • Goetsch, L., & Caussanel, V. (2010). Selection criteria for c-Met-targeted therapies: Emerging evidence for biomarkers. Biomarkers in Medicine, 4, 149–170.

    Article  Google Scholar 

  • Gotlib, J., Cools, J., Malone, J. M, 3rd, Schrier, S. L., Gilliland, D. G., & Coutre, S. E. (2004). The FIP1L1-PDGFRalpha fusion tyrosine kinase in hypereosinophilic syndrome and chronic eosinophilic leukemia: Implications for diagnosis, classification, and management. Blood, 103, 2879–2891.

    Article  Google Scholar 

  • Hoos, A., & Cordon-Cardo, C. (2001). Tissue microarray profiling of cancer specimens and cell lines: Opportunities and limitations. Laboratory Investigation; a Journal of Technical Methods and Pathology, 81, 1331–1338.

    Article  Google Scholar 

  • Lakhani, S. R. (2001). Molecular genetics of solid tumours: Translating research into clinical practice. What we could do now: breast cancer. Molecular Pathology: MP, 54, 281–284.

    Article  Google Scholar 

  • Li, L. L., Ding, G. H., Feng, N., Wang, M. H., & Ho, Y. S. (2009). Global stem cell research trend: Bibliometric analysis as a tool for mapping of trends from 1991 to 2006. Scientometrics, 80, 39–58.

    Article  Google Scholar 

  • Lou, Y. C., & Lin, H. F. (2012). Estimate of global research trends and performance in family therapy in Social Science Citation Index. Scientometrics, 90, 807–823.

    Article  Google Scholar 

  • Lu, T. Y., & Yang, L. (2011). Uses of cardiomyocytes generated from induced pluripotent stem cells. Stem cell Research & Therapy, 2, 44.

    Article  Google Scholar 

  • Lucio-Arias, D. (2007). A validation study of HistCite (TM): Using the discoveries of fullerenes and nanotubes. (Vols. I, II, pp. 886–887).

  • Marincola, F. M. (2003). Translational Medicine: A two-way road. Journal of Translational Medicine, 1, 1.

    Article  Google Scholar 

  • McBride, P., Schrott, H. G., Plane, M. B., Underbakke, G., & Brown, R. L. (1998). Primary care practice adherence to National Cholesterol Education Program guidelines for patients with coronary heart disease. Archives of Internal Medicine, 158, 1238–1244.

    Article  Google Scholar 

  • Mielke, M. M., & Lyketsos, C. G. (2010). Alterations of the sphingolipid pathway in Alzheimer’s disease: New biomarkers and treatment targets? Neuromolecular Medicine, 12, 331–340.

    Article  Google Scholar 

  • Norman, C. D., Charnaw-Burger, J., Yip, A. L., Saad, S., & Lombardo, C. (2010). Designing health innovation networks using complexity science and systems thinking: The CoNEKTR model. Journal of Evaluation in Clinical Practice, 16, 1016–1023.

    Article  Google Scholar 

  • Porter, A., Fischer, M. J., Brooks, D., Bruce, M., Charleston, J., Cleveland, W. H., et al. (2012). Quality of life and psychosocial factors in African Americans with hypertensive chronic kidney disease. Translational Research: The Journal of laboratory and clinical Medicine, 159, 4–11.

    Article  Google Scholar 

  • Pouris, A., & Pouris, A. (2011). Scientometrics of a pandemic: HIV/AIDS research in South Africa and the World. Scientometrics, 86, 541–552.

    Article  Google Scholar 

  • Psyrri, A., Licitra, L., Lacombe, D., Schuuring, E., Budach, W., Ozsahin, M., et al. (2010). Strategies to promote translational research within the European Organisation for Research and Treatment of Cancer (EORTC) Head and Neck Cancer Group: A report from the Translational Research Subcommittee. Annals of Oncology, 21, 1952–1960.

    Article  Google Scholar 

  • PubMed Help (2005). [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2005. http://www.ncbi.nlm.nih.gov/books/NBK3830/.

  • Rigby, M. R. (2010). The role of the physician-scientist in bridging basic and clinical research in type 1 diabetes. Current Opinion in Endocrinology, Diabetes, and Obesity, 17, 131–142.

    Article  Google Scholar 

  • Rost, K., Nutting, P. A., Smith, J., & Werner, J. J. (2000). Designing and implementing a primary care intervention trial to improve the quality and outcome of care for major depression. General Hospital Psychiatry, 22, 66–77.

    Article  Google Scholar 

  • Rubio, D. M., Schoenbaum, E. E., Lee, L. S., Schteingart, D. E., Marantz, P. R., Anderson, K. E., et al. (2010). Defining translational research: Implications for training. Academic Medicine, 85, 470–475.

    Article  Google Scholar 

  • Runyan, C. M., & Taylor, J. A. (2010). Clinical applications of stem cells in craniofacial surgery. Facial plastic Surgery: FPS, 26, 385–395.

    Article  Google Scholar 

  • Suk, F. M., Lien, G. S., Yu, T. C., & Ho, Y. S. (2011). Global trends in Helicobacter pylori research from 1991 to 2008 analyzed with the Science Citation Index Expanded. European Journal of Gastroenterology and Hepatology, 23, 295–301.

    Article  Google Scholar 

  • van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84, 523–538.

    Article  Google Scholar 

  • Wang, L., & Pan, Y.-T. (2010). Research frontiers and trends in graphene research. New Carbon Materials, 25, 401–408.

    Google Scholar 

  • Wang, C. D., & Wang, Z. (1998). Evaluation of the models for Bradford’s law. Scientometrics, 42, 89–95.

    Article  Google Scholar 

  • Westfall, J. M., Mold, J., & Fagnan, L. (2007). Practice-based research—“Blue Highways” on the NIH roadmap. JAMA: The Journal of the American Medical Association, 297, 403–406.

    Article  Google Scholar 

  • Woolf, S. H. (2008). The meaning of translational research and why it matters. JAMA: The Journal of the American Medical Association, 299, 211–213.

    Google Scholar 

  • Zerhouni, E. A. (2005). Translational and clinical science—time for a new vision. New England Journal of Medicine, 353, 1621–1623.

    Article  Google Scholar 

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Acknowledgments

This work was supported by the Natural Science Foundation of China (Grant No. 71173249: Research on Formation Mechanism and Evolution Laws of Knowledge Networks). The authors are grateful to Hong Cui, Hong-xun Song, Bin Zhang and Nathan D. Bobai for their helpful discussion and suggestions. The authors would also like to thank anonymous reviewers for their valuable comments.

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Authors and Affiliations

  1. School of Information Management, Wuhan University, Wuhan, 430072, People’s Republic of China

    Fei-Cheng Ma & Peng-Hui Lyu

  2. School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People’s Republic of China

    Qiang Yao, Lan Yao & Shi-Jing Zhang

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  1. Fei-Cheng Ma
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Correspondence to Peng-Hui Lyu or Shi-Jing Zhang.

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Ma, FC., Lyu, PH., Yao, Q. et al. Publication trends and knowledge maps of global translational medicine research. Scientometrics 98, 221–246 (2014). https://doi.org/10.1007/s11192-013-1003-y

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