Author's impact is based on articles and papers published by this author and citations to these articles and papers.
Is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. It is based on the set of the scientist's most cited papers and the number of citations that they have received in other publications. Tools for calculating the H-index can be measured in Web of Science, Scopus and Google Scholar.
G-index
Is an index for quantifying productivity in science, based on publication record (an author-level metric). It is calculated based on the distribution of citations received by a given researcher's publications, such that given a set of articles ranked in decreasing order of the number of citations that they received.
i10-index
The number of publications with at least 10 citations. This very simple measure is only used by Google scholar which is an disadvantage compared to other impact measuring tools, and is another way to help measure the productivity of a scholar.
M-quotient
The m-quotient aims at weighing the period of academic Endeavour so that even junior scientists attain the importance that they deserve. Thus, if n=number of years since the first published paper of the scientist, the m-quotient=h-index/n. However, the m-quotient may not stabilize until later in the scientist's career. for researchers in the early part of their career, who have low h indices, small changes in the h-index can lead to large changes in the m-quotient. Hirsch suggests the researcher's first published paper may not always be the appropriate starting point, especially if it was a minor contribution that was published well before the academic's period of sustained productivity. Although the m-quotient adds time as a weighting factor, it does not cater to the major disadvantages of the h-index including quality of publication and quality of citation.
Faculty of 1000
F1000 is the publisher of Three unique services that support and inform the work of life scientists and clinicians.
To know more about the F1000 in details visit their website Here.
Article 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.
Article level metrics are an evolving area. Measures include the number of citations in social media sites, as well as open peer or crowd-based recommendations or reviews.
Altmetrics is the term used to denote the social media based article level metrics.
To learn more about on how to calculate articles impact factor visit this page
Altmetrics is a new method of measuring impact, which looks beyond journal citations. It also captures mentions in social media, blogs, bookmarks, news media, in policy documents, and the number of downloads. Altmetrics are available faster in comparison to citation counts which take a longer time to accrue.
You can find more information about Altmetrics manifesto, visit there website HERE.
Impact Factors are used to measure the importance of a journal by calculating the number of times selected articles are cited within the last few years. The higher the impact factor, the more highly ranked the journal. ... The Journal Citation Reports (JCR) database tracks all impact factors for 12,061 journals.
To find the impact factor of a journal use all or one of the following:
Eigenfactor and article influence
Journal citation reports ( JCR)
SJR SCImago journal and country ranking
For more details about Journal impact factors visit this page.