Department of Surgery, Technische Universität München, Ismaninger Strasse 22, Munich, Germany.
Langenbecks Arch Surg. 2010 Apr;395 Suppl 1:69-73. doi: 10.1007/s00423-010-0623-4. Epub 2010 Mar 22.
The Impact Factor (IF) has originally been designed as a bibliometric tool to estimate the relevance of a scientific journal and has as such gained widespread acceptance in the scientific community. It denominates the ratio of all citations received by a particular journal within 1 year and all original research or review articles published by that journal during the preceding 2 years.
Recently, the IF is more and more frequently used to judge the importance of single articles or the scientific achievement of researchers themselves. These approaches are associated with a number of backlashes such as the inability of the IF to reflect citation rates of single articles, the lack of elimination of self-citations and the time frame within which the IF is calculated (i.e., the two preceding years). Thus, for the evaluation of single articles, citation rankings would be-though time consuming in their compilation-more adequate. For the assessment of the scientific output of individual researchers, the h-index is emerging as a valuable tool which reflects both the citation rate as well as the number of publications of a given researcher.
Although the IF is suitable for judging the overall importance of journals, IF rankings should be made solely within the respective subspecialty categorizations to avoid overrepresentation of larger research areas. In conclusion, the IF remains the widest accepted qualitative tool for the benchmarking of journals, though the assessment of individual scientific quality remains a challenging endeavor.
影响因子(IF)最初是作为一种文献计量工具设计的,用于评估科学期刊的相关性,因此在科学界得到了广泛认可。它表示特定期刊在 1 年内收到的所有引用次数与该期刊在前两年发表的所有原始研究或综述文章的比例。
最近,IF 越来越频繁地被用于判断单篇文章的重要性或研究人员自身的科研成果。这些方法存在许多问题,例如 IF 无法反映单篇文章的引用率、无法消除自引以及 IF 计算的时间范围(即前两年)。因此,对于单篇文章的评估,引文排名虽然在编制时比较耗时,但更合适。对于评估单个研究人员的科研产出,h 指数作为一种有价值的工具正在出现,它反映了给定研究人员的引文率和出版物数量。
尽管 IF 适合于判断期刊的整体重要性,但 IF 排名应仅在各自的亚专业分类内进行,以避免较大研究领域的过度代表。总之,IF 仍然是最广泛接受的期刊基准定性工具,尽管评估个别科学质量仍然是一项具有挑战性的任务。