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Target Audience: Postgraduate Students, Academic staff, Researchers, and Library staff
* Library courses can now be booked on the Library Training Calendar*
Please email lib.ref@strath.ac.uk if you have any questions about booking this course.
This lecture will provide a high-level understanding of some of the publication and citation metrics and how they are calculated.
Scopus: Understanding Research Metrics and using these responsibly
Journal-Level, Article-Level, and Author-Level.
This lecture will provide a high-level understanding of some of the publication and citation metrics and how they are calculated. We will showcase an array of metrics and show how they can be applied and monitored to help develop publication strategies, understand your impact, and identify key leading researchers in your field of research.
Learning Outcomes
After attending this session, you should:
- Understand how citations can be used as a proxy for quality, impact and reach;
- Have an understanding of the definition of Field-Weighted Citation Impact and other citation indicators;
- Be able to apply critical thinking around what is driving these numbers and build this into your workflows;
- Find out where to find these metrics in Scopus.
Scopus offers more research metrics — and on nearly twice the number of peer-reviewed publications — than any other abstract and citation database. Plus, we show the details behind our metrics, giving you confidence in knowing how the numbers are derived.
Michaela has been with Elsevier for 17 years and run numerous Events for Academic staff, Senior Researchers and Early Career Researchers on how to get papers accepted and published in the right scientific journal and she conducted a wide range of consulting sessions on Scopus, ScienceDirect and Mendeley.
She’s an enthusiastic communicator and passionate about helping Researchers and Information Professionals to turn information into actionable knowledge.
Delivered By: Michaela Kurschildgenm, Training Specialist and Customer Consultant from Elsevier