The present study analyzes and compares the journal self-citation (both self-citing rate and self-cited rate) and other scientometric data for journals of economics, psychology and political science from SSCI Journal Citation Reports on the Web 2005. The correlation between each of the nine pairs of two self-citation data and four kinds of scientometric data, i.e. source item, citation count, impact factor and cited half-life is examined based on the Pearson correlation tests. The Fisher's Z-transform is employed to test the significant difference between the Pearson correlation coefficient for each pair of scientometric data from the three subject areas. The significance of mean difference of each scientometric data was examined by the Tukey tests within the ANOVA. The similarities and differences in scientometric data among the three disciplines are identified.
12th International Conference on Scientometrics and Informetrics, ISSI 2009, Pages 472-481 12th International Conference on Scientometrics and Informetrics, ISSI 2009; Rio de Janeiro; Brazil; 14 July 2009 到 17 July 2009; 代碼 105504