Modelling the Growth of Chemistry Literature from 2005-2016: A Scientometric Study
DOI:
https://doi.org/10.37591/joals.v7i1.1868Abstract
Abstract
The present study demonstrates the growth of Chemistry literature for the period 2005-2016. A total of 24322 records were extracted from the Scopus Database for twelve years which is used as main source of primary data for the present study. The growth models were applied for the literature of Chemistry. The result of the study indicates that, the Relative Growth Rate (RGR) of Chemistry publication found to be decreasing trend and Doubling Time (Dt) found to be increasing trend. The growth of literature in the field of Chemistry does not follow either Polynomial or Power growth model. The study concluded that there has consistent trend in the growth of Chemistry literature. The study can be concluded that chemical literature follows the moderately follows Linear growth, Exponential growth and Logistic growth model.
Keywords: Scientometrics, Chemistry Literature, Relative Growth rate (RGR), Doubling Time (Dt), Growth Models
Cite this Article
Mahadevi R Nyamagoudar, Gavisiddappa Anandhalli. Modelling The Growth of Chemistry Literature from 2005-2016: A Scientometric Study. Journal of Advancements in Library Sciences. 2020; 7(1): 83–90p.
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