SciFinder Scholar数据库检索技巧

SciFinder Scholar database retrieval skill

目的介绍SciFinder Scholar(SFS)数据库检索技巧,为用户利用SFS数据库获取全面准确信息提供清晰指导,有效利用该资源。方法通过全面概述、对比分析与逐项匹配等方法对如何准确利用SFS进行论述;对SFS数据库的3大检索入口与后处理功能予以介绍;对检索课题选择合适的检索入口进行详细阐述。结果SFS主要包括CA与Medline数据库以及由CA数据库派生的化学反应数据库(CASREACT)、物质数据库(CAS REGISTRY)、商业来源数据库(CHEMCATS)、管制信息数据库(CHENLIST);SFS提供信息检索(Explore)、信息定位检索(Locate)、最新期刊目次浏览(Browse)3大检索入口,具有10余种检索途径与强大的后处理功能。结论SFS是当今权威的化学文献检索工具,深入了解其检索途径与各项功能,可以避免重复性劳动,高效准确地获取信息。

Objective To facilitate the readers better understanding and effectively using SciFinder Scholar （SFS） database. Methods Overview, comparative analysis and itemized matching methods were applied to demonstrate the correct application of this database. Three retrieval ways, the powerful post-processing function and the choice of suitable retrieval entries in SFS were presented in the paper. Results It was very important to grasp the retrieval skills of SFS for the readers to get accurate and comprehensive information. The way for the readers to make a correct choice of retrieval expression and reasonable application of post-processing function were introduced in the paper. Conclusions The article provides a guidance of the database for researchers to obtain complete and correct information.