Micro-Teaching on RESEARCH METRICS in the Refresher Course on Digital Transformation of LIS Education and Services organized by Central Library, Dr. Harisingh Gour Vishwavidyalaya, Sagar, MP

1. UGC-HRDC
Dr. Harisingh Gour Vishwavidyala, Sagar, M.P.
Presented by
Surendra Kumar Pal
Assistant Librarian
Central Library Tripura University
Micro-Teaching
on
RESEARCH METRICS
in
the Refresher Course on Digital Transformation
of LIS Education and Services

2. Research Metrics
Research Metrics is the quantitative & qualitative
analysis of scientific and scholarly research outputs
and their impacts.
Research Metrics include a variety of measures and
statistical methods for assessing the quality and
broader impact of scientific and scholarly research, as
well as to track researcher impact.
Research Metrics measure impact and provide insight
into the influence of specific journal publications,
individual articles, and authors.

3. Why Research Metrics
 To determine Research Quality
 To Assess potential for Grant funding, Research Policy Making
 For Promotion and Tenure, Hiring, Salary Raising
 To Prove Research Productivity, Monitoring Scholarly Developments,
Visualization of Scholarly Networks, Identifying Key Contributions &
Contributors
 Helps in recognition of Institutions like NAAC, NIRF Ranking etc.
 Journal Metrics, such as Impact Factor, helps track citation patterns within
journals and determine which journals are highly-cited.
 Author Metrics measure the impact and productivity of a researcher like h-
index, g-Index, i10-index, etc.
 Article Metrics, or citation tracking, is used to determine if an article, book,
journal, or particular author has been cited by another work.
 Altmetrics help researchers measure their impact from papers, data sets,
websites, blog posts, and more – PLoS, ImpactStory, Academia, SRRN etc.

4. Historical Background
 The twentieth century may be described as the century of the
development of Metric Science. Among the different metrics
Scientrometric is the most interesting subject area in the field of
library and information science, which can be applied to any
discipline irrespective of their period of evolution.
 The historical review says that F.J. Cole and Nellie B. Eates
presented the first recorded study on “bibliometrics” in 1917 in
science progress.
 Hulme was the first to use the expression ‘statistical
bibliography’ in 1923.
 In 1948 at Aslib’s conference, Dr. S R Rangnathan introduced the
term ‘Librametry’ in line of biometry, economtry, and
psychometry.
 One of the pioneers was Prichard suggested the word
‘bibliometircs’ in 1969 in preference to existing terminology
‘Statistical Bibliography’.

5. Source: Onyancha, O. B. (2014). Can informetrics shape biomedical research? A case study of the HIV/AIDS
research in sub-Saharan Africa 1. Inkanyiso: Journal of Humanities and Social Sciences, 6(1), 49-65.

6. Short Definitions
Source: Das, A. K. (2015). Research evaluation metrics (Vol. 4). UNESCO Publishing.
Informetrics Informetrics is the study of quantitative aspects of information. This
includes the production, dissemination, and use of all forms of
information, regardless of its form or origin.
Bibliometrics Bibliometrics is a set of methods to quantitatively analyse academic
literature and scholarly communications.
Scientometrics Scientometrics is the study of quantitative features and characteristics of
science, scientific research and scholarly communications.
Webometrics Webometrics is the study of quantitative features, characteristics,
structure and usage patterns of the world wide web, its hyperlinks and
internet resources.
Cybermetrics Cybermetrics is an alternative term for Webometrics.
Altmetrics Altmetrics is new metrics proposed as an alternative to the widely used
journal impact factor and personal citation indices like the h-index. The
term altmetrics was proposed in 2010, as a generalization of article level
metrics, and has its roots in the twitter #altmetrics hashtag.

7. Laws of Bibliometrics
The backbone of bibliometrics lies in its sound theocratical
foundation by some pioneer like Lokta, Bradford, Zipf, D.J. de
Sola Price, Mandelbrot, Brookes, Garfield, Egghe and many
others..
Lotka’s Law (1926) of scientific productivity : Lotka's Law
describes the frequency of publication by authors in a given
field.
Bradford’s Law (1934) of scatter: Bradford's Law serves as a
general guideline to librarians in determining the number of
core journals in any given field.
Zipf’s Law (1949) of word occurrence: Zipf's Law is often
used to predict the frequency of words within a text. The Law
states that in a relatively lengthy text.

8. Scope of Bibliometrics
DESCRIPTIVE STUDIES EVALUA TION STUDIES
Productive count
Which attempts to study
the body of literature by
counting its contributing
countries, authors,
journals, year of
publication, and
disciplines.
Literature usage count
Which attempts to study
the use of a body of
literature by using citation
analysis, impact analysis.

9. Scientometrics
In the 1960s, particularly in Eastern Europe, the Russian
term “scientometrics” was used to denote “measurement of
informatics process.”
 Nalmov and Mulchenko (1969) defined as the quantitative
methods which deals with analysis of science viewed as an
information process.
 According to Pouris (1989), ‘Scientrometrics is a application
of quantitative techniques(system analysis, mathematical and
statistical techniques etc.) to scientific communication(science
output, science policy, science administration etc.) with the
objectives of;
I. Developing science indicators;
II. Measuring the impact of science on society; and
III. Comparing the output as well as the impact of science at national and
international levels.

10. Scientometrics Indicators
Impact Factor:
 Impact factor was first described by Dr. Eugene Garfield
in 1955. It is a measure of importance of scientific
journals which is widely used to rank and evaluate
journals.
 H-Index has introduced by, Hirsch for quantify an
individual’s scientific research output. It attempts to
measure; both the scientific productivity and the
apparent scientific impact of a scientist.
 This index is based on the set of the scientist’s most
cited papers and the number of citations that they have
received in other people’s publications.

11. Scientometrics Tools
The quantitative as well as qualitative analysis of any Scientometrics study, such
as citation mapping, visualization, bibliographic coupling, co-authorship network,
co-words mapping etc. are carried out by using Scientometrics tools. This tools are
very much useful for Scientrometricians for mapping their parameters in any accept
of their study.
 Microsoft Excel
 Mendeley/Zotero
 Harzing Publish or Perish
 VOSviewer
 textalyser.net
 WordSift.org
 CitNetExplorer
 CiteSpace
 Histcite
 BibExcel
 Pajek

12. Showcase your research works with peers
By making your research visible and
accessible you increase chances of your
research being noticed, used and having
impact, thus increasing your own
reputation and chances of success in
your academic work.
ORCiD ID
Researcher ID
Scopus ID
Google Scholar ID
Microsoft Academic ID
Research Gate
Academia
SSRN
ImpactStory

13. References
 Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of documentation, 25(4), 348-
349.
 Harzing, A. W., & Alakangas, S. (2016). Google Scholar, Scopus and the Web of Science: a
longitudinal and cross-disciplinary comparison. Scientometrics, 106(2), 787-804.
 Bibliometric Basics https://www.ucl.ac.uk/library/research-support/bibliometrics/bibliometrics-
basics
 Jalal, S. K. (n.d.) Bibliometrics and Scientometrics: Tools and Techniques. Retrieved from
https://slideplayer.com/slide/11343821/
 Onyancha, O. B. (2014). Can informetrics shape biomedical research? A case study of the HIV/AIDS
research in sub-Saharan Africa 1. Inkanyiso: Journal of Humanities and Social Sciences, 6(1), 49-65.
 Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of documentation, 25(4), 348-
349.
 Harzing, A. W., & Alakangas, S. (2016). Google Scholar, Scopus and the Web of Science: a
longitudinal and cross-disciplinary comparison. Scientometrics, 106(2), 787-804.
 Bibliometric Basics https://www.ucl.ac.uk/library/research-support/bibliometrics/bibliometrics-
basics
 Jalal, S. K. (n.d.) Bibliometrics and Scientometrics: Tools and Techniques. Retrieved from
https://slideplayer.com/slide/11343821/
 Onyancha, O. B. (2014). Can informetrics shape biomedical research? A case study of the HIV/AIDS
research in sub-Saharan Africa 1. Inkanyiso: Journal of Humanities and Social Sciences, 6(1), 49-65.

14. Thank You
Questions?
assttlibrarian1@tripurauniv.ac.in
Skpdlis@gmail.com