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Capturing Trends in Industrial-Organizational Psychology: A Shiny Web Application
Human Performance ( IF 2.9 ) Pub Date : 2020-04-15 , DOI: 10.1080/08959285.2020.1751165
James Rigby 1 , Zach Traylor 2
Affiliation  

ABSTRACT

The present paper describes the purpose, and documents the primary functions of an open-source, Shiny web application developed for anyone interested in industrial-organizational psychology (trends.j-rigby.com). The application allows users to query the abstracts of over 150,000 peer-reviewed publications in 85 academic journals published in 1950 and thereafter that were sourced from Elsevier’s citation database, Scopus. Future goals include the incorporation of different frequency metrics and a peer-reviewed outlet recommendation system. Publication- and citation-related trends are plotted in accordance with the user-specified query, and publications meeting one’s query are displayed in tabular form, with an option to download a .csv of said table. All of the code and related materials, including the full database, are available via GitHub (https://github.com/jimmyrigby94/trends_in_io).



中文翻译:

捕捉产业组织心理学的趋势:一个闪亮的Web应用程序

摘要

本白皮书描述了此目的,并记录了针对对产业组织心理学感兴趣的任何人开发的开源Shiny Web应用程序的主要功能(trends.j-rigby.com)。该应用程序允许用户查询1950年出版的85种学术期刊中超过150,000种经过同行评审的出版物的摘要,这些摘要来自Elsevier的引文数据库Scopus。未来的目标包括合并不同的频率指标和同行评审的出口推荐系统。根据用户指定的查询来绘制与出版物和引用相关的趋势,并以表格形式显示符合某人查询的出版物,并可以选择下载该表的.csv。所有代码和相关资料,包括完整的数据库,都可以通过GitHub(https:

更新日期:2020-04-15
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