This paper presents a browser-based software tool, Paperfetcher, to automate the handsearch portion of systematic reviews. Paperfetcher has two parts: an extensible back-end framework written in Python, which does all the heavy lifting, and a set of easy-to-use front-end apps for researchers. The front-end apps can be run online, with no setup, on a cloud platform. Privacy-conscious users can run the app on their computers after a few steps of installation, and advanced users can modify the source code and extend the back-end interface for their own specific needs. Paperfetcher's website has user guidelines and a step-by-step setup video to coach researchers to use the software. With Paperfetcher's assistance, researchers can retrieve articles from designated journals and a given timeframe with just a few clicks. Researchers can also restrict their search to papers matching a set of keywords. In addition, Paperfetcher automates snowball-search, which retrieves all references from selected articles. Paperfetcher helps save a considerable amount of time and energy in the literature search portion of systematic reviews.
翻译：本文展示了一个基于浏览器的软件工具Paperfetcher, 将系统审查的手读部分自动化。 paperfetcher 有两个部分: 以 Python 书写的可扩展的后端框架框架, 这个框架可以做所有重担的提升, 以及为研究人员提供一套容易使用的前端通知。 前端应用程序可以在云层平台上在线运行, 没有设置设置。 隐私用户可以在安装几步后在计算机上运行应用程序, 高级用户可以修改源代码, 并根据自己的具体需求扩展后端界面 。 Paperfetcher 网站有用户指南和一步步设置视频, 用于指导研究人员使用软件 。 在Paperfetcher 的协助下, 研究人员可以使用几击即可从指定的期刊上检索文章和给定的时间框架。 研究人员还可以限制搜索与一组关键词匹配的文件的搜索。 此外, Paperfetcher 自动数据搜索, 可以从选定的文章中检索所有参考文献。 Paperfetcher 帮助节省了大量的时间和精力。
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