Beyond the Impact Factor: using metrics to help identify highly-cited and highly-discussed researchCode: LIB301 , Offered By: Research Study Skills
With an ever increasing amount of published research, it can be difficult to identify key publications and authors in your field.
Citation metrics and altmetrics are tools that can help you identify highly-cited and highly-discussed research. You can use them to help discover topics, researchers, papers and journals which generate interest and receive attention within academia and beyond. Whilst these metrics should always be used alongside qualitative judgements and are not an indication of quality, they can provide a useful insight into how research is shared, cited and discussed.
This session will give an overview of citation metrics and altmetrics, and introduce a range of tools that can be used to find highly-cited and highly-discussed research.
We’ll discuss the strengths and limitations of metrics such as the impact factor and provide guidance on how to use them responsibly. Attendees will learn how to find a range of metrics from different sources to give a more balanced picture of how research outputs have been shared, cited and discussed.
Citation metrics and altmetrics primarily focus on research outputs published in scholarly journals. Therefore this session will be most relevant to researchers from disciplines in which the primary research outputs are journal papers.
This session will introduce citation metrics and altmetrics, and how they can be used to help identify influential journals, authors and papers.
understand the benefits and limitations of citation metrics and altmetrics
gain experience of using a range of metrics tools to help identify highly-cited and highly-discussed research outputs
Practical workshop with support from Library staff
There will be no formal assessment. We suggest you use the objectives and learning outcomes above to reflect on what you have learned in this session and record this in your DDP e-portfolio.
Anthea Tucker & Oliver Allchin
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