Research metrics
Research metrics
What is this about?
Research metrics, or Bibliometrics, is a statistical analysis of published articles and journals and their citations. Research metrics analysis can be on journal level, article level or author level. [1] [2] Altmetrics is an alternative approach to research metrics (as opposed to traditional ones) which is also used today by some journals.
- ↑ 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 which shows how many articles have been cited that number of times. For example, h-index of 10 shows that the author has 10 articles, each cited at least 10 times. [1]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, SCImago Journal Rank, etc.
It's important to note that every metric system has its flaws and should not be the only criterion when making a decision.
The Embassy Editorial team, Iris Lechner, Natalie Evans, Jonathan Lewis, Marin Vidak contributed to this theme. Latest contribution was Mar 26, 2021