PostScholar: Surfacing Social Signals in Google Scholar Search

Shagun Jhaver*, Larry Chan*, and Sandeep Soni* (2017) “PostScholar: Surfacing Social Signals in Google Scholar Search,” (* co-primary). In Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (CSCW ‘16 Companion). Association for Computing Machinery, New York, NY, USA, 17–20. DOI: 10.1145/2818052.2874314

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Abstract

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.

BibTeX citation

@inproceedings{Jhaver2016Postscholar,
	author = {Chan, Larry and Jhaver, Shagun and Soni, Sandeep},
	title = {PostScholar: Surfacing Social Signals in Google Scholar Search},
	year = {2016},
	isbn = {9781450339506},
	publisher = {Association for Computing Machinery},
	address = {New York, NY, USA},
	url = {https://doi.org/10.1145/2818052.2874314},
	doi = {10.1145/2818052.2874314},
	booktitle = {Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion},
	pages = {17–20},
	numpages = {4},
	keywords = {social media, Twitter, commentary},
	location = {San Francisco, California, USA},
	series = {CSCW '16 Companion}
}