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Diachronic Analysis on the Change of Citation Behaviour Based on the Core Medical Journals in Guangdong Province

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Abstract

The information embedded in core academic journals is useful to learn effectively, recommend prestigious learning resources, and reflect the academic level of subjects in some areas. This article involves 11 Guangdong medical academic journals published from 1989 to 2015, which are collected from the Chinese Science Citation Database. We divide these journals into 4 small subjects and analyze them from both the time and subject dimensions. From the time dimension, the total cited curve presents an exponential trend. The annual averaged cited quantities are larger than those in the past. The earlier papers are published, the longer the interval between the published year and the year that reaches the cited peak. From the subject dimension, the cited curve of traditional Chinese medicine is apparently different from the other 3 subjects. These journals overall appear relatively consistent cited characteristics. The citation theory of periodical data can help us understand the citation rule of online learning data and use them more efficiently.

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Acknowledgements

The research work described in this article was fully supported by a grant from Innovation and entrepreneurship training program for 2015 Provincial College Students (Grant No. 201513177006), and a grant from the Soft Science Research Project of Guangdong Province (Grant No. 2014A030304013).

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Correspondence to Xinjie Yuan .

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Wang, S., Zhan, C., Chen, Y., Wu, Q., Yuan, X., He, L. (2017). Diachronic Analysis on the Change of Citation Behaviour Based on the Core Medical Journals in Guangdong Province. In: Wu, TT., Gennari, R., Huang, YM., Xie, H., Cao, Y. (eds) Emerging Technologies for Education. SETE 2016. Lecture Notes in Computer Science(), vol 10108. Springer, Cham. https://doi.org/10.1007/978-3-319-52836-6_62

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  • DOI: https://doi.org/10.1007/978-3-319-52836-6_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52835-9

  • Online ISBN: 978-3-319-52836-6

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