Article Level Metrics
PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like. Elsevier purchased Plum Analytics, so you may see the image below in their products.
You may see the image below for various metrics in some of the library databases. Here is an example:
h-index - "An index that attempts to measure both the productivity and impact of the published work of a scientist or scholar" developed by Jorge E. Hirsch. His article explaining how he came up with the h-index "An Index to Quantify an Individual's Scientific Research Output" is available in JSTOR. You can also see the h-index of published articles that are indexed in Web of Science (you must first do a search of your topic).
g-index - "an index for quantifying scientific productivity based on publication record. It was suggested in 2006 by Leo Egghe."
e-index - an alternative to using the h-index that addresses excess citations.
Google Citations-allows you to track citations to your work. You will need to create an account.
If you publish with PLOS, you can download an app that will provide information on article level metrics (ALM).
Focuses on science and article level metrics, online conversations, and datasets.