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"Genetic Engineering" Analysis by Means of Scientometric Techniques
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The research on the analysis of the growth of literature on Genetic Engineering published in PubMed is conducted to know the language wise distribution, country-wise, continent wise, authorship pattern, single v/s multi authored papers and the deviation between average growth of literatures for fifteen year from 1998 to 2012 which published a total no. of publications of 145502 and the same has been utilized for the scientometric study. The language-wise distribution shows that English language publications were the most popular among the other language publications published in PubMed database. North America stood first place in literature production and China produced more number of literature among Asian countries. The Indian contribution towards the research on Genetic Engineering is only 3.26%. As the deviation of average no. of publications during each year is too much to predict the future trend of no. of publications on Genetic Engineering. The testing of Lotka's law proved that there is a significant difference in the author productivity. Each and every Government should allocate more funds towards conducting research on Genetic Engineering to make the society hale and healthy.
Keywords
Authorship Pattern, Degree of Collaboration, Deviation Analysis, Genetic Engineering, Lotka, Scientometric
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