Search

The Study examines the Biodiversity in India as revealed in the database of web of science in the year of 1991-2017. It was seen that the analysis included author productivity, authorship pattern, degrees of collaboration, year wise Cited references, Relative growth rate, and doubling time. This study also verified Lotka's Inverse square law of author productivity, Price's Square root law, Pareto Principle (80*20 Rule). [ABSTRACT FROM AUTHOR]

Dyslexia, or a reading disability, occurs when an individual has significant difficulty with speed and accuracy of word decoding. Comprehension of text and spelling are also affected. The diagnosis of dyslexia involves the use of reading tests, but the continuum of reading performance means that any cut off point is arbitrary. The IQ score does not play a role in the diagnosis of dyslexia. The cognitive difficulties of dyslexics include problems with speech perception, recognizing and manipulating the basic sounds in a language, language memory, and learning the sounds of letters. Dyslexia is a neurological condition with a genetic basis. There are abnormalities in the brains of dyslexic individuals. There are also differences in the electrophysiological and structural characteristics of the brains of dyslexics. Physicians play a particularly important role in recognizing children who are at risk for dyslexia and helping their parents obtain the proper assessment. The fundamental aim of this study was, to analyze the application of Lotka's law to the research publication, in the field of Dyslexia. The data related to Dyslexia were extracted from web of science database, which is a scientific, citation and indexing service, maintained by Clarivate Analytics. A total of 5182 research publications were published by the researchers, in the field of Dyslexia. The study found out that, the Lotka's inverse square law is not fit for this data. The study also analyzed the authorship pattern, Collaborative Index (CI), Degree of Collaboration (DC), Co-authorship Index (CAI), Collaborative Co-efficient (CC), Modified Collaborative Co-efficient (MCC), Lotka's Exponent value, Kolmogorov-Smirnov Test (K-S Test), Relative Growth Rate and Doubling Time. [ABSTRACT FROM AUTHOR]

The study investigated the research publications of the National Institute of Mental Health and Neurosciences (NIMHANS) during the period 2009-2018 as reflected in Web of Science database. The results show that 1694 papers were published and gained 20158 citations. The average number of citations per paper identified is 11.89%. Neuroscience Neurology, Psychiatry, and Surgery are the most preferred domains to publish the articles. The global collaboration of NIMHANS is mostly with the USA, England, and Australia. The degree of collaboration is 0.99. The researchers of NIMHANS prefer to publish their papers in Indian journals. Lotka's law was tested to measure the scientific productivity of authors. Further, the study analyzed the author's productivity, predominant authors, institutional collaboration, impact factor and highly cited papers. [ABSTRACT FROM AUTHOR]

Lotka's Law describes the frequency of publications by authors in a given subject/discipline. In the present study, an attempt has been made to study the suitability of the Lotka's Law to the publications of a Higher Educational institution of a region consisting of academic authors and researchers in various disciplines. Annamalai University has been ranked 20th in the state level and 56th at National level by MHRD. Annamalai University is renowned for its research output performance and has been funded for many major, minor and DST research projects. It has a large network and linkages to academia, R&D organisations and industries. It covers almost all the subjects with 10 Faculties and 49 departments of study. Examines the applicability of Lotka's Law as a general inverse power (a # 2) and as an inverse square power relationship (a = 2) to the distribution of the research productivity Annamalai University, South India. Two datasets of the research papers (936 and 3370) contributed by Annamalai University academic authors and researchers during the period of 2000-2006 and 2011-2017 were collected from Web of Science Database. A K-S Test was applied to measure the degree of agreement between the distribution of the observed set of data against the inverse general power relationship and the theoretical value of a=2. It was found that the inverse square law of Lotka does not show conformity as such. [ABSTRACT FROM AUTHOR]