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Scholarly Metrics Publication Metrics

This guide will help you establish and maintain your professional identity and measure the impact of research outputs

Introduction to metrics for research outputs

Citation databases collect article-level metrics such as "times cited" and link out to the citing works. These databases may integrate analytics to build tables, graphs and perform network analyses. Set up citation alerts to be notified when an article has been cited. UAB has a subscription to several databases that provide publication-level statistics:


Here is an example of article-level metrics in Scopus:

The metrics will vary from one database to another. Here is the same publication in Web of Science:


iCite

iCite, from the NIH, provides bibliometric information for journal articles that have been included in the PubMed database. iCite compares the Relative Citation Ratio (RCR) a metric calculated as the citations of a paper normalized to the citations received by NIH-funded publications in the same "area of research" and year. The area of research is uniquely defined in each case by the corpus of publications co-cited with the article of interest (the “co-citation network”). In other words, the RCR indicates how a publication has been cited relative to other publications in its co-citation network and this is assumed to be reflective of the article’s area of research.

The RCR is calculated for publications in PubMed which are at least 2 years old. Values are centered around 1.0 so that a publication with an RCR of 1.0 has received the same number of citations as would be expected based on the NIH-norm, while a paper with an RCR of 2.0 has received twice as many citations as expected. 

You can use iCite to prepare customized report from the dashboard to understand pattern(s) of influence of the articles within an analysis group.

modified from Dimensions FAQ