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The journal has a 2020 impact factor of 6.773. According to the Journal Citation Reports, the journal had a 2016 impact factor of 2.931, ranking it 34th out of 146 journals in the category "COMPUTER SCIENCE, INFORMATION SYSTEMS". [2] The 2015 impact factor was 3.017, [3] [4] which was the highest impact factor of any Emerald journal that year. [5]
The impact factor relates to a specific time period; it is possible to calculate it for any desired period. For example, the JCR also includes a five-year impact factor, which is calculated by dividing the number of citations to the journal in a given year by the number of articles published in that journal in the previous five years. [14] [15]
The most-cited paper in history is a paper by Oliver Lowry describing an assay to measure the concentration of proteins. [13] By 2014 it had accumulated more than 305,000 citations. The 10 most cited papers all had more than 40,000 citations. [14] To reach the top-100 papers required 12,119 citations by 2014. [14]
Scientometrics is a subfield of informetrics that studies quantitative aspects of scholarly literature.Major research issues include the measurement of the impact of research papers and academic journals, the understanding of scientific citations, and the use of such measurements in policy and management contexts. [1]
Author-level metrics are citation metrics that measure the bibliometric impact of individual authors, researchers, academics, and scholars. Many metrics have been developed that take into account varying numbers of factors (from only considering the total number of citations, to looking at their distribution across papers or journals using statistical or graph-theoretic principles).
Q, on the other hand, looks for correlations between subjects across a sample of variables. Q factor analysis reduces the many individual viewpoints of the subjects down to a few "factors," which are claimed to represent shared ways of thinking. It is sometimes said that Q factor analysis is R factor analysis with the data table turned sideways.
The discussion of a paper can be seen as a metric that captures the potential impact of a paper. Typical sources of data to calculate this metric include Facebook, Google+, Twitter, Science Blogs, and Wikipedia pages. Some researchers regard the mentions on social media as citations.
They are also referred to as Internet research, [1] Internet science [2] or iScience, or Web-based methods. [3] Many of these online research methods are related to existing research methodologies but re-invent and re-imagine them in the light of new technologies and conditions associated with the internet. The field is relatively new and evolving.