Dr. Yehia Eissa
The ideal situation, when making research management decisions, is to have 3 types of input: peer review, expert opinion, and information from a quantitative evidence-base.
When these complementary approaches “triangulate” to give similar messages, the user can have a higher degree of confidence that their decision is robust. Whereas conflicting messages are a useful alert that further investigation is probably a good use of time.
In this webinar an overview will be presented on the research metrics to enable triangulation from the "evidence-base". The metrics presented are those available from Scopus and SciVal.
During the webinar we will cover:
1. Article level metrics, including: citations and derivatives thereof, views and derivatives thereof, and PlumX Metrics;
2. Journal level metrics, including: CiteScore, CiteScore Rank, CiteScore Percentile, SNIP, and SJR;
3. Author and institutional level metrics, including: H-indices, outputs, citations and derivatives thereof, collaborations, top journal and citation percentiles.
The webinar will last for 1 hour and will be followed by 15 minutes for questions.