Scientometric analysis on scholarly communications of National Institute of Mental Health and Neurosciences (NIMHANS), India

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\u27s law was tested to measure the scientific productivity of authors. Further, the study analyzed the author\u27s productivity, predominant authors, institutional collaboration, impact factor and highly cited papers

Mapping the Research Output of Select Research Institutes in India: A Scientometric Approach

The study identified the research performance of different government institutes namely, All India Institute of Speech and Hearing (AIISH), Mysore, Central Power Research Institute (CPRI), Bangalore, and Indian Council of Agricultural Research - National Institute of Animal Nutrition and Physiology (ICAR-NIANP), Bangalore. The study covers the period 2006-2019 to retrieve the data from Web of Science database. All three institutes produced 898 records. AIISH published 151 articles and got 810 citations, CPRI published 365 articles and received 3049 citations and ICAR-NIANP published 382 articles and gained 2827 citations during the period. AIISH and ICAR-NIANP have published maximum number of papers in “Article Type”. In contrast, CPRI has published good number of papers in “Proceedings Paper”. The H-index of AIISH was 15, the H-index of CPRI was 27 and the H-index of ICAR-NIANP was 26. Further, the study analyzed productive authors of the institutions, highly cited articles, author collaboration, and suitability of Lotka’s law of scientific productivity

Scientometric analysis on scholarly communications of National Institute of Mental Health and Neurosciences (NIMHANS), India

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\u27s law was tested to measure the scientific productivity of authors. Further, the study analyzed the author\u27s productivity, predominant authors, institutional collaboration, impact factor and highly cited papers

CDKD: a clinical database of kidney diseases

<p>Abstract</p> <p>Background</p> <p>The main function of the kidneys is to remove waste products and excess water from the blood. Loss of kidney function leads to various health issues, such as anemia, high blood pressure, bone disease, disorders of cholesterol. The main objective of this database system is to store the personal and laboratory investigatory details of patients with kidney disease. The emphasis is on experimental results relevant to quantitative renal physiology, with a particular focus on data relevant for evaluation of parameters in statistical models of renal function.</p> <p>Description</p> <p>Clinical database of kidney diseases (CDKD) has been developed with patient confidentiality and data security as a top priority. It can make comparative analysis of one or more parameters of patient’s record and includes the information of about whole range of data including demographics, medical history, laboratory test results, vital signs, personal statistics like age and weight.</p> <p>Conclusions</p> <p>The goal of this database is to make kidney-related physiological data easily available to the scientific community and to maintain & retain patient’s record. As a Web based application it permits physician to see, edit and annotate a patient record from anywhere and anytime while maintaining the confidentiality of the personal record. It also allows statistical analysis of all data.</p