Bilbliometrics, scientometrics and informetrics are called three metrics which are in different subject background but have similar theories, technologies and applications. Scientometrics uses the mathematical methods to do citation analysis. Informetric applies mathematical and statistical method to study the characteristics and laws of information. Bibliometrics believe in the quantitative analysis of bibliography data.
The term ‘Bibliometric Analysis’ is defined as a statistical evaluation of published journal papers, books, or other scientific articles, etc. and it is an effective way to measure the influence of publications, scholars, or institutions in the scientific community. It is also considered as one of the statistical methods to analyze bibliography data from various sources. It is mostly applied in the field of library and information science. The term “Bibliometrics” first coined the term by Pitchard in 1969. Bibliography databases represent samples of research publication in the field of intellectual property. Structured and reliable data is a great challenge for researchers because most of the database is paid version. In order to perform bibliometrics analysis a free data base is also available for researchers like PubMed, Google Scholar database can be extracted by using Harzing publish or perish software. For PubMed database, researchers can easily extract data simply by writing portal name www.pubmed.gov and keywords. Nowadays, Harzing publish or perish has become powerful software tool for researchers who can easily extract data from various sources like have no access of paid version of database. Harzing publish or perish is a free software which can be downloaded from portal “Publish or Perish on Microsoft Windows (harzing.com)”, on which various options are available like Crossref, Google Scholar, Google Scholar Profile and PubMed and researchers can extract data easily by writing keywords. Harzing publish or perish software also represents citation metrics like publication years, citation years, citations, cites per year etc.
Apart from that there are various tools are available for bibliometric analysis such as Bibexcel, R, and Citespaceand VOSviewer tool. VOSviewer tool has been developed by Nees Jan van Eck and Ludo Waltman and was introduced in a paper published in Scientometrics in 2010. Currently VOSviewer software is in fashion among researchers, which is considered one of the powerful tools for data visualization. By using VOSviewer, authors can draw co-citation maps and analyze co-authorship, keyword co-occurrence, citation, bibliographic coupling etc, in less time. This software also performs cluster analysis and creates social network maps for countries, affiliations and sources. There is a concept of density and overlay visualization in VOSviewer tool in which density visualization gives an idea of the main areas in a network of bibliometric and overlay density represents development over time. Data cleaning is also possible by using thesaurus files.
In case of R software tool, there is inbuilt package and library of “bibliometrix” that help in bibliometrics analysis and important feature biblioshiny is available to support bibliometrics analysis in a very efficient manner. The question arises here How Biblioshiny works? Biblioshiny adds the function of package of bibliometrix with the ease of use of web apps using the shiny package environment. Researchers can use the following three steps in R Console or R Studio to install packages, library and biblioshiny app.
install. packages (“bibliometrix”)
install. library (“bibliometrix”)
Biblioshiny ()
With biblioshiny, the shiny app bibliometrix analysis has become very easy to use even those researchers who have no coding skills. Researchers can analyze annual scientific production of articles, number of articles, books, books chapters, relevant sources and authors, growth of articles across the year, country-level analysis, thematic analysis, factor analysis, co-citation and co-authorship analysis and also analyze multiple country and single country collaborations in respective field of research. Another popular software tool in bibliometrics analysis is BibExcel which is being used by researchers to do bibliometrics analysis and this software tool is also free for academic and researchers.
Thus Biblioshny, VOSviewer and Bibexcel allow researchers and academicians to import data from various sources. In case of Publish or Perish great numbers of data sources has compatibility like Crossref ( Free data source), Google Scholar( free data source), Google Scholar Profile ( Free data source), Pub Med( Free data source), Open Alex( Free data source), Scopus ( Free Registration required) and Web of Science ( External Subscription) . Finally, we should use such bibliometrics software tools that are easily available for researchers and also has compatibility to work with the most common databases.
Frequently, JIMS Kalkaji organizes workshop and Faculty Development Program ( FDP) on Bibliometrics Analysis for researchers, students and academicians. So that they can get more exposure in terms of writing good and quality research papers to get publish in reputed journals.
JIMS, Kalkaji
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