The journal impact factor is a measure of the frequency in which the average article in a journal is cited in a particular year. Impact factors measure the impact of a journal, not the impact of individual articles. It is used to measure the importance or rank of a journal by calculating the times it's articles are cited.
Google Scholar Metrics provides ranked lists of different scholarly journals, ordered by their five-year h-index and h-median metrics. Users can browse the top 100 publications in several languages. For English language journals, users can browse the top 20 publications in several broad categories and in several subcategories. This helps researchers and prospective authors in identifying academic journals in their publishing venues.
The Journal Citation Reports (JCR) by Thomson Reuters provide quantitative tools for ranking, evaluating, categorizing, and comparing journals. The impact factor is one of these; it is a measure of the frequency with which the "average article" in a journal has been cited in a particular year or period. The annual JCR impact factor is a ratio between citations and recent citable items published. Thus, the impact factor of a journal is calculated by dividing the number of current year citations to the source items published in that journal during the previous two years.
Altmetrics is a quantitative measure of the quality and quantity of attention that a scholarly work is receiving through social media, citations and article downloads.
This article discusses faculty productivity, measuring scholarly impact, the need alternative measures and altmetrics, social network analysis and social media impact, analysis traditional scholarly impact and more. Abbie Brown, John Cowan and Tim Green. May 2, 2016.
A report on how and why scholars cite Twitter, and other questions such as: 'Do scholars cite on Twitter? If so, what do citations look like on Twitter? Do citations on Twitter carry impact? Created by Jason Priem and Kaitlin Light, School of Information and Library Science, University of North Carolina.
The h-Index, also known as the Hirsch Index or Hirsch number, is an index to quantify a person's scientific research output. There are several databases (Web of Science, Scopus and Google Scholar) that provide an h-index for an individual based on publications indexed in the tools.
From: Measuring Your Impact: Impact Factor, Citation Analysis, and other Metrics: Citation Analysis, University of Illinois, 2016. http://researchguides.uic.edu/if
This video, the H-Index: A Measure of a Scientist's Impact, is by the Medical College of Wisconsin Libraries, 2013.
Citation analysis is defined by the University of Illinois as "The process whereby the impact or "quality" of an article is assessed by counting the number of times other authors mention it in their work." (Measuring Your Impact: Impact Factor, Citation Analysis, and other Metrics: Citation Analysis, University of Illinois, 2016. http://researchguides.uic.edu/if)
This video was published on October 11, 2015 and provides an overview of citation searching utilizing citation chaining in Web of Science, ProQuest Dialog and Google Scholar.
This video, "What Citations Can Tell Us" was created by the library at Curtin University in Perth Australia.