[Purpose/significance] Based on the analysis of subject service needs of researchers, this paper constructs a multi-level author analysis model for scientific research service and empirical study, this can provide references for deep-level scientific research service. [Method/process] By investigating the needs of researchers that from the same discipline but with different research levels, this paper found that researchers with different levels have different requirements for specific analysis. Then, by taking the author analysis as an example, this paper proposed a demand model for author analysis corresponding to entry researchers, preoccupied researchers and managed researchers. Finally, in order to illustrate the model, this paper took the core journal papers of Chinese language and characters from 2001 to 2015 as an example, and used different bibliometric methods and softwares to answer the needs of analysis requirements for authors with different research levels. [Result/conclusion] Experimental results show that this model can identify some facts about Chinese language and characters during these 15 years, including core author groups, representative scholars, research groups and cooperation status, as well as recent representative scholars and continuing representative scholars. The presented model is universal and can enhance the integration of librarians in scientific research service.
Huang Yue
. Multi-level Author Analysis Model for Scientific Research Service and Empirical Study[J]. Library and Information Service, 2018
, 62(9)
: 112
-122
.
DOI: 10.13266/j.issn.0252-3116.2018.09.014
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