Challenges and opportunities for detecting and measuring diffusion of scientific impact across heterogeneous altmetric sources
Brian Davis, Ioana Hulpus, Michael Taylor, Conor Hayes
Alternative Metrics is an inclusive term designed to capture the diversity of non-traditional measures of scientific innovation and impact. At its core, is the concept that the Web has empowered scientific and scholarly knowledge to influence far beyond its traditionally core audience of scientists and researchers. Of particular interest is the diffusion of scientific output across social media, mainstream news and official government policies. Text mining as well as network mining techniques can be applied to lift, link and analyse heterogeneous sources such as news, social media blogosphere and traditional bibliographic data sources. Current state-of-the-art techniques can greatly assist in capturing diffusion across hard or explicit links. However, capturing and measuring impact of soft or indirect forms of scholarly diffusion remains a challenging and difficult set of problems that require attention.
On Developing Extraction Rules for Mining Informal Scientific References from Altmetric Data Sources
Waqas Khawaja, Michael Taylor, Brian Davis
Sophia: An Altmetric Analysis Prototype
John Lonican, Mohan Timilsina, Waqas Khawaja, Ioana Hulpus, Michael Taylor, Conor Hayes, Brian Davis
Sophia is the first version of a custom analysis prototype built in a collaboration between Insight Galway and Elsevier. The prototype aims to assist users in understanding research dissemination in sources other than traditional scientific publications, such as in social media, government documents and news sources.