Abstract
In this paper, profiling methods are used to review the scientific literature that has been published on rare disease research between 2007 and 2016. In total of 15228 articles from Web of Science and 21638 articles from PubMed were collected for analysis. During this 10-year retrospective review, we profiled the rare disease research from 3 perspectives: the scale of publications, the research domains along with key topics of rare diseases research, and the research network through collaboration and citation activities. The most prolific counties, institutes and the most active research domains have been particularly measured. These profiling analyses used different methods provide a multiple perspectives overlook of rare disease research.
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This study was supported by the National Natural Science Foundation of Beijing (9174047).
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Guo, H., Hong, N., Shen, Z., Duan, W., Zhang, Z. (2018). Profiling Analysis of 10 Years of Rare Disease Research Using Scientific Literature. In: Tan, Y., Shi, Y., Tang, Q. (eds) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science(), vol 10943. Springer, Cham. https://doi.org/10.1007/978-3-319-93803-5_2
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DOI: https://doi.org/10.1007/978-3-319-93803-5_2
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