Abstract:

Purposes To construct journal influence evaluation indicators based on supportive citations：the rate of supportive citation （R_SC） and the supportive citation impact factor （F_SCI）. In order to evaluate the influence of academic journals more scientifically and reasonably. Methods Based on the supportive citation data provided by the Scite platform， 234 Chinese SCIE journals （covering 14 ESI disciplines） were selected as the research objects. The disciplinary and journal distribution characteristics of R_SC were analyzed， and the differences and changing trends between F_SCI and journal impact factor （JIF） were explored. Moreover， the correlations between F_SCI and comparison indicators such as JIF， JIF percentile， and total citation frequency were examined. And the robustness between F_SCI and JIF groups were evaluated through the Bootstrap method. Findings The mean R_SC of agricultural science is relatively high， while that of computer science is relatively low. Overall， the mean R_SC of the 234 journals is 0.0252， and the differences in R_SC are to some extent influenced by the nature of the discipline. There are 92 journals whose F_SCI and JIF are in the same quartile， and the ranking changes significantly. The correlation coefficient between F_SCI and R_SC is 0.604， showing a moderate correlation with the comparison indicators. The correlation between F_SCI and JIF varies in different groups （the width of the 95% confidence interval is approximately 0.41）. However， R_SC is not correlated with the comparison indicators. Conclusions There are significant differences in R_SC among different disciplines and journals. By introducing semantic intent， F_SCI can more accurately reflect the academic contributions and the degree of positive recognition of journals， providing a theoretical basis and empirical research for the construction of a more scientific and multi-dimensional journal evaluation system.

Key words: Rate of supportive citation, Supportive citation impact factor, Academic impact, Journal evaluation

摘要：

目的 构建基于支持性引用的期刊影响力评价指标——支持性引用率（rate of supportive citation，R_SC）和支持性引用影响因子（supportive citation impact factor，F_SCI），以期更加科学合理地评价学术期刊影响力。方法 基于Scite平台提供的支持性引用数据，选取234种中国SCIE期刊（涵盖14个ESI学科）为研究对象，分析R_SC的学科和期刊分布特征，探讨F_SCI与期刊影响因子（journal impact factor，JIF）差异及其变化趋势，且与JIF、JIF百分位、总被引频次等对比指标之间的相关性，并通过Bootstrap方法评估F_SCI与JIF分组间的稳健性。结果 农业科学的R_SC均值较高，而计算机科学的R_SC均值较低。整体来看，234种期刊的R_SC均值为0.0252，且R_SC的差异在一定程度上受学科性质影响。F_SCI和JIF在四等分分区一致的期刊共有92种，且排名变化显著。F_SCI与R_SC相关系数为0.604，与对比指标呈中度相关，与JIF在不同分组下的相关性存在一定波动（95% 置信区间宽度约 0.41）。而R_SC与对比指标不相关。结论 不同学科和期刊之间的R_SC存在明显差异，F_SCI通过引入语义意图，能够更精准地反映期刊的学术贡献与正面认可的程度，为构建更科学、多维的期刊评价体系提供了理论基础与实证研究。

关键词: 支持性引用率, 支持性引用影响因子, 学术影响力, 期刊评价