Innovation evaluation of Chinese academic papers at editors' initial review stage:Taking fishery scientific journals as examples
[Purposes]This study aims to construct the qualitative and quantitative evaluation methods for the innovation of Chinese academic papers during the editors'initial review stage,using innovation diffusion theory and an academic innovation index system.This effort is intended to enhance the evaluation system for academic papers and improve the quality of Chinese scientific journals.[Methods]Building on the innovation diffusion theory,we classified the degree of innovation by analyzing the annual publication curve of core topics,enabling a preliminary qualitative judgment of the paper's innovativeness.We identified six characteristic indicators that ensure both paper quality and reflect innovation through correlation analysis,utilizing 13 academic innovation indices across four categories and leveraging 748 peer review outcomes from papers published in Southern China Fisheries Science from 2017 to 2020,alongside data from the CNKI and Baidu Academic databases.The entropy method was then applied to calculate index weights,establishing an academic innovation evaluation model for the initial review stage to quantitatively assess paper innovation.[Findings]The validation shows that this innovation evaluation model can accurately and efficiently assess the level of innovation of a paper at the editor's initial review stage with considerable universality.Additionally,the innovation assessment based on the innovation diffusion curve offers a rapid qualitative analysis for evaluating paper innovation at this stage.[Conclusions]The developed method for evaluating innovation in papers at the initial review stage is reasonable and practical,providing a valuable addition to the field of academic paper innovation evaluation.
Innovation evaluation modelChinese academic paperEditors'initial review stageIndex systemInnovation diffusion theory
NETL
NSTL
万方数据
