Clarivate Plc, a global leader in providing trusted information and insights to accelerate the pace of innovation, has released a report, ‘Identifying Research Fronts in the Web of Science: From metrics to meaning.’ Latest analysis from the Institute for Scientific InformationTM at Clarivate uses clusters of citations from recently published papers to show the hot and emerging scientific topics that are currently attracting exceptional attention. It also encourages researchers and managers to perform deeper evaluations of research by making use of the new and complementary metrics in Research Front data derived from the Web of ScienceTM to inform and improve research evaluation and highlight topics with economic and societal impact.
The identification of hot and emerging scientific and technological research topics in a Research Front is created by concentrated clusters in the network of citations that link one publication with another. The examination of shared terminology in such clusters may reveal a breakthrough in an existing field or the realization of a novel, possibly cross disciplinary, area of research in the shape of an emerging field. Using a machine learning algorithm for network analysis the report finds the precise location of Research Fronts in the knowledge network and uses science mapping and data visualisation to highlight their value by using familiar examples - CRISPR, 2D Materials, and Machine Learning.
The ability to find these fronts and to track emerging specialty areas of scientific research, together with the key players at the epicentre of the front, provides a distinct advantage for those who fund, monitor, support and advance the conduct of research, often in the face of finite resources. This includes governments, commercial organisations, policy makers, science funders, publishers, institutional research administrators and many others.
Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.
Click here to read the original press release.
