Abstract: 【Purpose/significance】Under the background of open science,this paper combines Altmetrics data to analyze and evaluate
the indicator characteristics of discourse leading for Chinese academic journals in English,which is of great significance to enrich and
improve the evaluation theory and indicator system of academic journals with Chinese characteristics,promote the construction of dis?
course system with Chinese characteristics.【Method/process】In this paper,descriptive statistical analysis and distribution rule of evalu? ation indicators are firstly carried out from the macro level.The distribution characteristics of evaluation indicators of different disci? plines are revealed from the middle level.The distribution characteristics of evaluation indicators under different international coopera? tion conditions are analyzed from the micro level.Secondly,according to the characteristics and connotation of the evaluation indicators, the evaluation indicator system is constructed.Thirdly,correlation analysis,factor analysis,entropy weight method and TOPSIS method are adopted to evaluate and analyze the discourse leading of Chinese academic journals in English by integrating Altmetrics.At the same time,this paper verifies the reliability of the evaluation results,aiming at providing references for the establishment of world-class academic journals and the improvement of the discourse leading of Chinese academic journals.Six features of discourse leading inte? grated with Altmetrics were obtained.【Result/conclusion】It is feasible and necessary to integrate the advantages of various methods and integrate Altmetrics to evaluate the discourse leading of academic journals which are in a diversified academic ecosystem.Mean? while,the evaluation results are reliable to a certain extent.【Innovation/limitation】In the follow-up research,we will expand the data sources,analyze and evaluate the discourse leading of academic journals from more dimensions,and try to put forward its construction path.