Categories: R&D, innovation, commercialization; data analysis and visualization tools
Overview: Total-Impact measures the impacts of scholarly research through gathering data on frequency with which an item of research is tweeted, saved, blogged, downloaded, and bookmarked. In doing so, total-Impact presents a broader, timelier picture of impact that can complement traditional approaches tracking peer-review or citation analysis. Impact data are aggregated into a single, streamlined, shareable report, which can be accessed via an open API and embedded into web-based CVs or article management systems.
Unit of Analysis: Scholarly products, including articles, papers, datasets, slides, and software
Coverage: Scholarly research in 15 Web-based data sources, such as CrossRef, Mendeley, and PLoSALM
Size: Number of unique scholarly products referenced in data sources
Form: User-generated metrics
Key Data Elements: Impact measures vary by data source. Examples include readers, views, citations, mentions, downloads, bookmarks, blogs, tweets, and recommenders.
Data Collection Method: Distributed data system, involving 15 Web-based information sources
Access: Web app is free. Subscriptions are available for high volume usage.
Potential Uses for Regional Analysis: Compare impacts of departments and institutions within a region and across regions, by research field or topic
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