9 research outputs found

    Chronic liver disease (CLD) research in SAARC countries: A scientometric analysis of research output during 1996-2015

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    The study focuses on the pattern of literature growth, global publication share and ranking, authorship pattern, collaborative coefficient, productivity and impact of most productive institutions and authors, sources and highly cited articles based on data obtained on chronic liver disease research from Scopus. It is found that SAARC countries together contributed 2312 documents during 1996–2015, which is only about 3.49 % of the global CLD output of 66200 publications. The study further revealed that the amount of literature related to CLD research has considerably increased over the last five years. India is leading among SAARC member countries in terms of publication share, leading institutions and authors. The results of study call for more collaboration among the member countries of SAARC as well as with other leading countries, which will increase both quantity and quality of research in CLD

    Application of Lotka’s Law in Bell’s palsy (facial paralysis) research output during 2004 -2018.

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    This paper examines the validity of Lotka’s law of scientific publication productivity of the articles published on Bell’s palsy disease during 2004-2018. Data for this analysis was retrieved from WOS data base of Clarivate analytics. In this study, the straight and complete count of authorship was used. A total of 4039 articles along with 3384 and 14517 authors were identified by using straight and complete count method of authorship respectively. K-S goodness of- fit statistical test were employed to verify the applicability of Lotka’s law. The results showed that, Lotka’s law fits with the data of straight count of authors. While this law doesn’t find fits to complete count authorship\u27s. Hence, it is concluded that Lotka’s law partially fits with Bell’s palsy literature

    Applicability of Lotka’s Law in Parasitology research output of India

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    International audienceThis paper examines the conformity of Lotka’s law to authorship distribution in the field of parasitologyusing Scopus during 2007-2016. Totally, 5792 articles produced by 3473 unique first authors, wascompiled for analysis. Lotka’s law was tested using both generalized and modified forms by using theformula: x y c n = , the values of the exponent n and the constant c were computed; and Kolmogorov-Smirnov (K-S) and Chi-square tests were applied. The results showed that the Lot ka’s law f it t o t heauthor productivity distribution pattern in parasitology literature

    A scientometric analysis of Indian research output in Parasitology during 2007-2016

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    International audienceThe paper examines Indian publications on parasitological research during 2007-2016, as covered in Scopus database. Annual growth rate of World parasitology is 0.43% and growth rate in India is 0.27%. India's global share is increasing and 4/5th of the global parasitology publications are from ten countries, around a quarter are from USA. Half of the World parasitology documents are from USA, UK, Brazil and France. Average Relative Index was low in 2009 and high in 2016. Around half of the documents deals with medicine aspects, India collaborated with 115 countries, of which more with USA. Central Drug Research Institute, Lucknow produces the maximum documents. Dr. Shyam Sundar of Banaras Hindu University is the most productive author. Lion's share (97.39%) of the documents are published in journals and Journal of Parasitic Diseases is the most productive journal

    Application of Lotka’s Law in Bell’s palsy (facial paralysis) research output during 2004 -2018.

    Get PDF
    This paper examines the validity of Lotka’s law of scientific publication productivity of the articles published on Bell’s palsy disease during 2004-2018. Data for this analysis was retrieved from WOS data base of Clarivate analytics. In this study, the straight and complete count of authorship was used. A total of 4039 articles along with 3384 and 14517 authors were identified by using straight and complete count method of authorship respectively. K-S goodness of- fit statistical test were employed to verify the applicability of Lotka’s law. The results showed that, Lotka’s law fits with the data of straight count of authors. While this law doesn’t find fits to complete count authorship\u27s. Hence, it is concluded that Lotka’s law partially fits with Bell’s palsy literature

    Chronic liver disease (Cld) research in saarc countries: A scientometric analysis of research output during 1996-2015

    Get PDF
    The study focuses on the pattern of literature growth, global publication share and ranking, authorship pattern, collaborative coefficient, productivity and impact of most productive institutions and authors, sources and highly cited articles based on data obtained on chronic liver disease research from Scopus. It is found that SAARC countries together contributed 2312 documents during 1996�2015, which is only about 3.49 of the global CLD output of 66200 publications. The study further revealed that the amount of literature related to CLD research has considerably increased over the last five years. India is leading among SAARC member countries in terms of publication share, leading institutions and authors. The results of study call for more collaboration among the member countries of SAARC as well as with other leading countries, which will increase both quantity and quality of research in CLD. © 2017, National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved

    A scientometric analysis of Indian research output in Parasitology during 2007-2016

    No full text
    International audienceThe paper examines Indian publications on parasitological research during 2007-2016, as covered in Scopus database. Annual growth rate of World parasitology is 0.43% and growth rate in India is 0.27%. India's global share is increasing and 4/5th of the global parasitology publications are from ten countries, around a quarter are from USA. Half of the World parasitology documents are from USA, UK, Brazil and France. Average Relative Index was low in 2009 and high in 2016. Around half of the documents deals with medicine aspects, India collaborated with 115 countries, of which more with USA. Central Drug Research Institute, Lucknow produces the maximum documents. Dr. Shyam Sundar of Banaras Hindu University is the most productive author. Lion's share (97.39%) of the documents are published in journals and Journal of Parasitic Diseases is the most productive journal

    Application of Lotka’s Law in Bell’s palsy (facial paralysis) research output during 2004 -2018

    No full text
    International audienceThis paper examines the validity of Lotka’s law of scientific publication productivity of thearticles published on Bell’s palsy disease during 2004-2018. Data for this analysis was retrievedfrom WOS data base of Clarivate analytics. In this study, the straight and complete count ofauthorship was used. A total of 4039 articles along with 3384 and 14517 authors wereidentified by using straight and complete count method of authorship respectively. K-S goodnessof- fit statistical test were employed to verify the applicability of Lotka’s law. The resultsshowed that, Lotka’s law fits with the data of straight count of authors. While this law doesn’tfind fits to complete count authorships. Hence, it is concluded that Lotka’s law partially fits withBell’s palsy literature

    Applicability of Lotka’s Law in Parasitology research output of India

    No full text
    International audienceThis paper examines the conformity of Lotka’s law to authorship distribution in the field of parasitologyusing Scopus during 2007-2016. Totally, 5792 articles produced by 3473 unique first authors, wascompiled for analysis. Lotka’s law was tested using both generalized and modified forms by using theformula: x y c n = , the values of the exponent n and the constant c were computed; and Kolmogorov-Smirnov (K-S) and Chi-square tests were applied. The results showed that the Lot ka’s law f it t o t heauthor productivity distribution pattern in parasitology literature
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