The most common and well known bibliometric is journal impact factor.
Impact factor measures the popularity of a journal. It cannot measure the quality or success of a journal.
Impact factor is calculated by taking the mean of citations of articles published in a journal in the past two (or five) years. For example:
Some of the highest impact factors in medicine are the Lancet (130.838), New England Journal of Medicine (91.245), and Journal of the American Medical Association (56.272). However, most impact factors are around 1. Generally, the wider the scope of the journal, the higher the impact factor is. A journal that focuses on a narrow field with few researchers, and therefore generates less research, will have a lower impact factor.
The h-index was created in 2005 by Jorge E. Hirsch at UC San Diego. It is calculated by determining that an author has published h papers that have been cited h number of times. For example:
h-index favors established researchers. Early career researchers will have less publications, and older articles have more opportunities to accrue citations. If Author White publishes five publications, their h-index may grow from one to five just through the passage of time. h-index also favors researchers in popular fields that generate a great number of articles, as well as fields where large numbers of citations per article are common.
Altmetrics is a catch-all term for any alternative bibliometric measure to traditional bibliometrics like impact factors and h-index. Some examples of alternative measures include how many times an article is viewed, how many times the article is saved in citation databases like EndNote, or how how many times the article is shared on Twitter, Facebook, or other social media.
Several services offer altmetric analyses, including Plum Analytics and Altmetric.com. However, there is no universal definition for what constitutes altmetrics, and altmetrics may be defined differently by different researchers.