Librarian Sandy DeGroote from the University of Illinois has created a great PowerPoint presentation about metrics and assessing the impact of your scholarship.
Creating the scholarly content is part of the scholarly communication process, but understanding what impact that content has on the field is another, equally important part of the process. There are a number of ways in which the impact of scholarly content can be measured:
Author J.E. Hirsch (2005) proposed the h-index, defined as the number of papers with citation number ≥h, as a useful index to characterize the scientific output of a researcher. This is an author-level metric.
There are several databases (Web of Science, Scopus, and Google Scholar) that will provide an h-index for an individual based on publications indexed in the tools.
Finding Your h-index Using GoogleScholar
Finding Your h-index Using Harzing's Publish or Perish
Publish or Perish is freely available software designed to help individual academics to present their case for research impact to its best advantage.
"The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly average number of citations of articles published in the last two years in a given journal. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factor values are often deemed to be more important, or carry more intrinsic prestige in their respective fields, than those with lower values." -- https://en.wikipedia.org/wiki/Impact_factor
The impact factor is based on a two-year period and involves dividing the number of times articles were cited by the number of articles that are citable.
For example, the calculation of 2020 impact factor of a journal would be:
A = the number of times articles published in 2018 and 2019 were cited by indexed journals during 2020.
B = the total number of "citable items" published in 2018 and 2019.
A/B = 2020 impact factor
The impact factor can be found on most journal websites in the "About This Journal" section:
Citation analysis is the process of assessing the impact or "quality" of an article by counting the number of times other authors "cite" or reference it in their work.
Citation analysis involves counting the number of times an article is cited by other works to measure the impact of a publication or author. There is no single citation analysis tool that collects all publications and their cited references. For a thorough analysis of the impact of an author or a publication, you need to look in multiple databases to find all possible cited references.
Multiple databases that the Wolfgram Library Subscribes to provide citation counts:
Calculating the CiteScore is based on the number of citations to documents (articles, reviews, conference papers, book chapters, and data papers) by a journal over four years, divided by the number of the same document types indexed in Scopus and published in those same four years.
For example, the 2020 CiteScore counts the citations received in 2017-2020 to articles, reviews, conference papers, book chapters, and data papers published in 2017-2020, and divides this by the number of these documents published in 2017-2020.
From the Scopus.com homepage, click on Sources
The Sources page lists the journals ranked with their CiteScore, Highest Percentile, Citations, Documents, and more listed.
In scholarly and scientific publishing, altmetrics are non-traditional bibliometrics proposed as an alternative or complement to more traditional citation impact metrics, such as impact factor and h-index. The term altmetrics was proposed in 2010, as a generalization of article level metrics, and has its roots in the #altmetrics hashtag. Although altmetrics are often thought of as metrics about articles, they can be applied to people, journals, books, data sets, presentations, videos, source code repositories, web pages, etc. Altmetrics use public APIs across platforms to gather data with open scripts and algorithms. Altmetrics did not originally cover citation counts, but calculate scholar impact based on diverse online research output, such as social media, online news media, online reference managers and so on. It demonstrates both the impact and the detailed composition of the impact. Altmetrics could be applied to research filter, promotion and tenure dossiers, grant applications and for ranking newly-published articles in academic search engines. -- https://en.wikipedia.org/wiki/Altmetrics