• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Science & Technology Libraries >Selecting a Database for Drug Literature Retrieval: A Comparison of MEDLINE, Scopus, and Web of Science;
【24h】

Selecting a Database for Drug Literature Retrieval: A Comparison of MEDLINE, Scopus, and Web of Science;

机译：选择药物文献检索数据库：MEDLINE，Scopus和Web of Science的比较；

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Three widely used databases—MEDLINE, Scopus, and Web of Science—were compared for their relative ability to retrieve the largest number of articles within the drug literature, using three search terms: two for specific drugs (atorvastatin and olanzapine) and one for a major class of drugs (statins). These drugs and the class of drugs were chosen for their longevity and continued high clinical and scientific interest, as indicated by the many articles concerning them published in scholarly and professional journals over the last two decades. Significant differences were observed in the journal coverage and the number of documents each database retrieved, with Scopus significantly outperforming the other two databases in these respects. Based on the results from this limited but by no means atypical study of comparative strengths and degree of coverage, the best option for retrieving the largest numbers of articles on a particular drug in the literature would be to use both Scopus and Web of Science, as these two databases complement each other with respect to the journal coverage. MEDLINE retrieved much smaller numbers of documents in all searches and should be used only when the other two databases are not available.
机译：比较了三个广泛使用的数据库-MEDLINE，Scopus和Web of Science，它们使用三个搜索词检索药物文献中数量最多的文章的相对能力：两个用于特定药物（阿托伐他汀和奥氮平），一个用于主要药物（他汀类药物）。选择这些药物和药物类别是因为它们的寿命长，并且继续具有很高的临床和科学兴趣，正如最近二十年来在学术和专业期刊上发表的许多有关它们的文章所表明的那样。在期刊覆盖率和每个数据库检索到的文档数量上观察到显着差异，在这些方面，Scopus的性能明显优于其他两个数据库。基于这种有限但绝非非常规的比较强度和覆盖度研究结果，检索文献中有关特定药物的大量文章的最佳选择是同时使用Scopus和Web of Science，因为这两个数据库在期刊覆盖率方面相互补充。 MEDLINE在所有搜索中检索的文档数量要少得多，并且仅在其他两个数据库不可用时才应使用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号