Essential to bibliometric analysis are publications (ex. articles, chapters, books), and a measurement of the subsequent citations they receive. These metrics are useful for showing scholarly interest in a specific item as they count where the item has been directly cited in future research.
Citation counts
A count of the number of times future work has included the item in their reference list.
All citation indexes provide this metric (Scopus, Dimensions, Web of Science, Google Scholar)
Field-weighted/normalised/relative citation impact metrics
These types of metrics attempt to contextualise citation counts by factoring in the age and research area of the item. They measure citations received by a document relative to the world average of citations received by documents of similar type, year of publication, and research field. Typically a value of 1.00 indicates that the document has been cited as expected based on the global average.
For examples of this type of metric see FWCI (Scopus), FCR and RCR (DImensions), and Web of Science offers the CNCI but only to subscribers of their analytics platform Incites.
Things to consider
|
---|
Scopus provides a number of document level metrics as outlined here
Scopus offers a citation count and a Field-Weighted Citation Impact (FWCI) for each article.
For example, the Scopus database has counted 380 citations for the following article, and it has a Field-Weighted Citation Impact of 9.73, indicating that it is far surpassing citation expectations.
Dimensions uses a number of document level metrics as outlined here
Metrics unique to DImensions are:
Search for the article and click on the Dimensions Badge for additional information about the article.