Dates: Whenever you like
This course introduces methods to gather data from the web to create alternative research impact indicators, sometimes known as altmetrics. These indicators may help to evaluate the early scholarly impacts of academic research as well as its wider impacts. The course will discuss indicator formula including the Mean Normalised Citation Score (MNCS) and Mean Normalised Log Citation Score (MNLCS) that enable fair comparisons between articles published in different fields and years. The course will use the software Webometric Analyst to gather the data and create the web indicators. Data sources to be covered include Altmetric.com scores, Mendeley reader counts and a range of web indicators.
Day 2: Practice. This starts with an overview of a range of alternative indicators and will then introduce Webometric Analyst, a free software suite that gathers data for many alternative indicators and calculates advanced indicators for them. This will be followed by practical workshop sessions during which attendees will use the software to gather alternative indicator data and calculate and benchmark indicator values. This course demonstrates how to gather and calculate indicators (benchmarked in the sense of field and year normalised) using free web-based data for commercial impact (patents), educational impact (syllabus mentions, PowerPoint mentions), informational impact (Wikipedia citations) and grey literature impact. Altmetric.com's free research data will also be mentioned. Attendees can bring their own data in order to calculate a range of web indicators for it on the day. Download presentation files, worksheets and data. If you get stuck, please email Mike m dot thelwall at wlv.ac.uk with any questions or arrange a Skype session with screensharing if you would like help with the software.
Please sign up for a free Bing Cognitive Services V7 key if you would like to try out the web citation searches (optional) and bring it with you. *Don't enter your credit card information.*
Dates: September 12 and 13, 2019 (Thursday and Friday).
Location: Your house, university or workplace (if open).
Course lecturers: Mike Thelwall and Kayvan Kousha of the Statistical Cybermetrics Research Group at the University of Wolverhampton.
Recommended reading: Thelwall, M. (2017). Web indicators for research evaluation: A practical guide. San Rafael, CA: Morgan & Claypool. [An overview of all the steps needed from data collection to analysis and interpretation for web indicators, including practical advice.]
Computing and data: You will need a Windows PC for the workshop.
Food: Please arrange your own food.
Accommodation: Your house/flat.