Image source: Dasapta Erwin Irawan [CC0]
Bibliometrics is the quantitative analysis of publications. More and more, tools within this field are being used to assess the impact of scholarly articles, journals, an individual researcher, or even an institution. Therefore, it is essential that faculty members become familiar with different tools and how they evaluate scholarly works. Below are resources explaining bibliometrics in more detail, and links to some of the tools used in the analysis.
Journal ranking is a quantitative analysis of journals. Though controversial, it is considered a traditional method in the academia that offers a picture of the most influential journals in a given discipline. There are different ways to calculate the impact factors of journals, such as the JIF (Web of Science), SJR (Scopus), Eigenfactor and more. Additionally, there are databases that have created their own metrics limited to their journal collection, such as Cabell's and Scopus.
Watch this short video for a basic understanding of Journal rankings by Michelle Dalton from the UCD Library.
Click on the link here to see an example of the ranking of OT journals, for example.
The h-index (Hirsch index) is an author-level metric based on a person’s number of papers and citation number. It is a combined measure of both productivity and impact. Note: Like every other bibliometrics tool, the h-index has its own limitations and should be used with caution. For example, the h-index does not count in the average number of citations in different disciplines nor is it a proper tool for measuring the impact of early-career researchers.
Your h-index is based on a list of your publications ranked in descending order by the times cited count. The value of h is equal to the number of papers (N) in the list that have N or more citations. You can find your h-index in the tools below.
Altmetrics are statistical tools that use a range of social media sources to calculate the influence of scholarly literature. They work as a complement to more traditional methods of analysis.
(Adapted from Michelle Dalton--UCD library)