PostScholar: Surfacing Social Signals in Google Scholar Search

被引：2

作者：

Chan, Larry ^{[1
]}

Jhaver, Shagun ^{[1
]}

Soni, Sandeep ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Interact Comp, Atlanta, GA 30332 USA

来源：

PROCEEDINGS OF THE 19TH ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING COMPANION | 2016年

关键词：

Twitter; commentary; social media;

D O I：

10.1145/2818052.2874314

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

PostScholar is a service that augments the results returned by Google Scholar, a search engine for academic citations. PostScholar detects the social media activity related to an article and displays that information on the search results page returned by Google Scholar. This enables Google Scholar users to interpret the social media impact of an article, in addition to the citation impact provided by Google Scholar. The PostScholar service is implemented as a browser extension, and can be deployed across a variety of devices.

引用

页码：17 / 20

页数：4