Suppr超能文献

谷歌学术中复杂搜索命中次数的变化。

Variation in number of hits for complex searches in Google Scholar.

作者信息

Bramer Wichor Matthijs

出版信息

J Med Libr Assoc. 2016 Apr;104(2):143-5. doi: 10.3163/1536-5050.104.2.009.

Abstract

OBJECTIVE

Google Scholar is often used to search for medical literature. Numbers of results reported by Google Scholar outperform the numbers reported by traditional databases. How reliable are these numbers? Why are often not all available 1,000 references shown?

METHODS

For several complex search strategies used in systematic review projects, the number of citations and the total number of versions were calculated. Several search strategies were followed over a two-year period, registering fluctuations in reported search results.

RESULTS

Changes in numbers of reported search results varied enormously between search strategies and dates. Theories for calculations of the reported and shown number of hits were not proved.

CONCLUSIONS

The number of hits reported in Google Scholar is an unreliable measure. Therefore, its repeatability is problematic, at least when equal results are needed.

摘要

目的

谷歌学术经常被用于搜索医学文献。谷歌学术报告的结果数量优于传统数据库报告的数量。这些数字有多可靠?为什么常常没有显示全部1000条可用参考文献?

方法

对于系统评价项目中使用的几种复杂搜索策略,计算了引用次数和版本总数。在两年时间内跟踪了几种搜索策略,记录报告的搜索结果的波动情况。

结果

报告的搜索结果数量的变化在搜索策略和日期之间差异极大。关于报告和显示的命中数计算的理论未得到证实。

结论

谷歌学术报告的命中数是不可靠的衡量标准。因此,其可重复性存在问题,至少在需要相同结果时是这样。

相似文献

2
Medical literature searches: a comparison of PubMed and Google Scholar.医学文献检索:PubMed 和 Google Scholar 的比较。
Health Info Libr J. 2012 Sep;29(3):214-22. doi: 10.1111/j.1471-1842.2012.00992.x. Epub 2012 Jun 19.

引用本文的文献

9
Roles for librarians in systematic reviews: a scoping review.图书馆员在系统评价中的作用:一项范围综述
J Med Libr Assoc. 2018 Jan;106(1):46-56. doi: 10.5195/jmla.2018.82. Epub 2018 Jan 2.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验