Scientometrics profile of global genetics literature as seen through PubMed
S. L. Sangam, Devika P. Madalli, Uma B. Arali
Abstract
S. L. Sangam, Devika P. Madalli, Uma B. Arali
Abstract
In this paper an attempt has been made to study the Growth pattern, doubling time of world and Indian Genetics literature. The Knowledge of Genetics being basic to progress in biology, agriculture, medicine, biotechnology, forensic sciences and many other fields, results of such studies are found highly useful. There are several dimensions of national science indicators that can be used to study different aspects of the research output in the field of Genetics and its ten subfields. Branch wise contribution indicates maximum growth in the branch of Human Genetics with the major contribution of 3,87,605 publications during this block period,(1993-2002) followed by Molecular Genetics (3,87,323); Medical Genetics (1,51,497); Population Genetics (65,910); Genetic Engineering (68,163); Genomics (54907); Developmental Genetics (50,445); Quantitative Genetics (48,060); Microbial Genetics (25,774) ; and Evolutionary Genetics (23,732). During both the block periods (1993-2002 and 2003-2012) Evolutionary Genetics has lesser number of publications. Study finally inferred that the Logarithmic and Linear growth models fit well for World's genetics literature whereas for India Exponential and Logistic models fit well.
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In this paper an attempt has been made to study the Growth pattern, doubling time of world and Indian Genetics literature. The Knowledge of Genetics being basic to progress in biology, agriculture, medicine, biotechnology, forensic sciences and many other fields, results of such studies are found highly useful. There are several dimensions of national science indicators that can be used to study different aspects of the research output in the field of Genetics and its ten subfields. Branch wise contribution indicates maximum growth in the branch of Human Genetics with the major contribution of 3,87,605 publications during this block period,(1993-2002) followed by Molecular Genetics (3,87,323); Medical Genetics (1,51,497); Population Genetics (65,910); Genetic Engineering (68,163); Genomics (54907); Developmental Genetics (50,445); Quantitative Genetics (48,060); Microbial Genetics (25,774) ; and Evolutionary Genetics (23,732). During both the block periods (1993-2002 and 2003-2012) Evolutionary Genetics has lesser number of publications. Study finally inferred that the Logarithmic and Linear growth models fit well for World's genetics literature whereas for India Exponential and Logistic models fit well.
Key concepts: Human genetics, Population genetics, Medical genetics, Molecular genetics, Statistical genetics, Quantitative genetics, Genetics, Scientometrics