Research Metrics
Research
Metrics
Research
metrics refer to the tools used to measure the overall influence of an article or
a researcher. They are crucial to analyse the reach of a discipline and a
journal. It is a set of key quantitative tools that are often taken as
indicatives of quality as well.
Based on transparency of
calculation these metrics can be classified into:
1. Open
Ranking Metrics: The metrics whose calculations are openly
accessible to everyone are open ranking measures.
2.
Closed Ranking Metrics: The
metrics whose calculations are openly accessible to everyone are open ranking
measures.
Based on the impact of
author or the work itself these metrics can be classified into:
1. Journal
Metrics: That measure the influence of a journal or the field
of study itself.
- Impact Factor (By Clarivate Analytics): For two consecutive years, the average number of times articles from a journal have been cited.
- 5-year Impact Factor (By Clarivate Analytics): For five consecutive years, the average number of times articles from a journal have been cited.
- CiteScore (By Scopus): For two consecutive years, the average number of times articles from a journal have been cited.
- SCImago Journal Rank (SJR)
- Source Normalised Impact per Paper (SNIP)
2. Author
Metrics: That indicate the influence of a researcher.
- h-index
- g-index
- m-index
- i10 index
- h5 index
- h5 median index
Validity
of metrics
· The
term ‘Bibliometrie’ was coined by Belgian Librarian Paul Otlet in 1934. Later,
Pritchard in 1969 coined the English term ‘Bibliometrics’. The idea behind
bibliometrie or bibliometrics was to quantify the reach and traction of a
literature. This further evolved into ‘Scientometrics’ for scientific
literature and ‘Informetrics’. The guiding principles however remained the
same.
·
Every researcher seeks validation and
encouragement. However attractive these metrics may seem; they are purely
quantitative indicators and rarely assess the quality. Publication count and
citations face several challenges. Gratuitous co-authoring, dynamic practices
of publication across disciplines and dearth of experts and academia for
emerging fields are the toughest challenges so far.
· It is assumed that the citation of a document is an indicator of its quality as well. It should be kept in mind that not all great articles are accessible and hence might not be well cited. All the articles cited in an article might not be of equal importance. The current measures fail to address this varied level of importance of an article independently.
What
can be done?
· For
a holistic assessment, each parameter should not be looked at independently but
together. A combination of these methods will help clear the picture and assess
better.
·
Altmetrics is a novel emerging approach
that makes use of social media to assess the impact. It is a dynamic metric
that reads web-based activity like number of downloads, shares, mentions,
bookmarks. However, it proves effective for open source articles better. It is
in no way a substitute but a supplement to existing metrics. A similar approach
can be developed and employed for qualitative analysis.
Case
Study
Journal Name |
Metrics for 2019 |
|||||
Indexing |
Impact Factor |
CiteScore |
5-year Impact Factor |
SNIP |
SJR |
|
IET Microwaves Antennas &
Propagation
|
Web
of Science
Scopus |
1.972 |
4 |
1.969 |
1.173 |
0.705 |
International
Journal of Antennas and Propagation
|
Web of Science
Scopus |
1.207 |
2.3 |
- |
0.673 |
0.278 |
CiteScore
Calculation:
Journal Name |
Total Citations (2016-2019) |
Total Documents (2016-2019) |
CiteScore |
IET Microwaves Antennas &
Propagation |
4958 |
1229 |
4.0 |
International Journal of Antennas and
Propagation |
1795 |
773 |
2.3 |
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