As a researcher, you may want to measure your research impact as a mechanism to know whether your research works reach to targeted audience and bring benefit to others. In order to measure scientific impact, it can be divided into 3 parts:
- Author Impact
H-Index –The most widely used research metric, measures, productivity and impact of an author’s scholarly output. Tools for calculating your H-index include Web of Science, Scopus and Google Scholar.
H-Index = number of papers (h) with a citation number ≥ h.
Example: a researcher with an H-Index of 37 has 37 papers cited at least 37 times.
M-quotient – While the h-index is independent of the date of an academic’s career, the m-quotient aims at weighing the period of academic endeavour. Divide the h-index by the number of years the academic has been active (measured as the number of years since the first published paper). (Hirsch, 2005).
G-Index – Accounting for highly-cited papers.Given a set of articles ranked in decreasing order of the number of citations that they received, the g-index is the (unique) largest number such that the top g articles received (together) at least g2 citations. (Egghe,2006)
i10-Index – Indicates the number of academic publications an author has written that have been cited at least 10 times by others. It was introduced in July 2011 by Google as part of Google Scholar
- Article Impact – Refers to the citations that a paper received and it can be browse in bibliographic databases such as Web of Science, Scopus and Google Scholar. However, the citation for a same paper may appear in different number because the citations received are based on the citing papers within the same platform only.
- Alternative Impact (Altmetrics) – Altmetrics are a very broad group of metrics, capturing various parts of impact a paper or work can have:Viewed – HTML views and PDF download.s
Discussed – journal comments, science blogs, Wikipedia, Twitter, Facebook and other social media.
Saved – Mendeley, CiteULike and other social bookmarks.
Cited – citations in the scholarly literature, tracked by Web of Science, Scopus, CrossRef and others.
Recommended – for example used by F1000Prime.
Explore more about research impact: