Research metrics
Research metrics
What is this about?
Research metrics, or Bibliometrics, is a statistical analysis of published articles and journals and their citations. Analysis of research metrics can be at a journal level, article level or author level. [1] [2] Altmetrics is an alternative approach to research metrics. It adopts an online approach, utilising social media platforms such as Twitter, Facebook and LinkedIn.
- ↑ Garfield E. Citation indexes for science; a new dimension in documentation through association of ideas. Science. 1955;122(3159):108-11.
- ↑ Yeung AWK, Heinrich M, Atanasov AG. Ethnopharmacology-A Bibliometric Analysis of a Field of Research Meandering Between Medicine and Food Science? Front Pharmacol. 2018;9(215).
Why is this important?
For whom is this important?
What are the best practices?
On an individual level, the most important research metrics are the H-index and the i-10 index. The H-index, also known as Hirsch index, is an author level metric that shows how many articles have been cited a certain number of times. For example, a h-index of 10 shows that the author has 10 articles, each cited at least 10 times.[1] The i-10 index shows the number of articles an author has published with at least 10 citations.
On a journal level, the impact factor shows an average number of citations per article in two consecutive years. [2] Other famous journal metric systems are Eigenfactor and the SCImago Journal Rankings.
It is important to note that every metric system has its flaws. As a result, they should not be the only criterion when determining the quality and performance of a particular researcher, article, journal or research project.
The Embassy Editorial team, Iris Lechner, Natalie Evans, Jonathan Lewis, Marin Vidak contributed to this theme. Latest contribution was Mar 26, 2021