Library and information science (LIS) scholars are increasingly aware of the ranking of LIS journals in the Journal Citation Reports (JCR) and Scopus when deciding where to publish, especially scholars who belong to universities that rely on these rankings when making hiring or promotion decisions. However, it is not known which index presents the most appropriate indicator for the LIS discipline and whether Scopus ranking is a possible alternative to the impact factor (IF). This study analysed the 2018 indicators for 58 LIS journals that are included in both Clarivate Analytics' JCR and Elsevier's Scopus databases. The bivariate correlations were calculated using the Spearman correlation coefficient. Then, to examine the interchangeability among the selected indicators, each pair of correlations was compared using Fisher's R to Z transformation formula. The results showed that all bivariate correlations are positive and strong. The highest correlations are between the Total Cites and Eigenfactor Score (ES) (R_s = 0.962, R² = 0.925) and between the IF and CiteScore (R_s = 0.952, R² = 0.906). There were 71 combinations with P-value >0.05, showing that there is no significant difference between the bivariate correlation, indicating interchangeability between those pairs. The best indicator which can be used interchangeably with the IF is the CiteScore. It is evident that, to measure the scientific quality of LIS journals, all stakeholders should take into consideration the correlations among the various indicators. Furthermore, they can rely on the CiteScore as an adequate alternative to the IF.

中文翻译：

---

评估图书馆和信息科学期刊不同影响指标之间的相关性：比较期刊引文报告和 scopus

图书馆和信息科学 (LIS) 学者在决定在哪里发表时越来越意识到 LIS 期刊在 Journal Citation Reports (JCR) 和 Scopus 中的排名，特别是属于大学的学者在做出招聘或晋升决定时依赖这些排名. 然而，目前尚不清楚哪个指数为 LIS 学科提供了最合适的指标，以及 Scopus 排名是否可以替代影响因子 (IF)。本研究分析了 Clarivate Analytics 的 JCR 和 Elsevier 的 Scopus 数据库中包含的 58 种 LIS 期刊的 2018 年指标。使用 Spearman 相关系数计算双变量相关性。然后，为了检查所选指标之间的互换性，使用 Fisher's 比较每对相关性 s R 到 Z 转换公式。结果表明，所有的双变量相关性都是正的和强的。相关性最高的是总引用数和特征因子得分 (ES) (R_s  = 0.962, R ²  = 0.925) 以及在 IF 和 CiteScore 之间（R _s  = 0.952, R ²  = 0.906）。有 71 个组合的 P 值 >0.05，表明双变量相关性之间没有显着差异，表明这些对之间具有互换性。可以与 IF 互换使用的最佳指标是 CiteScore。很明显，为了衡量 LIS 期刊的科学质量，所有利益相关者都应该考虑各种指标之间的相关性。此外，他们可以依靠 CiteScore 作为 IF 的适当替代品。