Soumen Teli ¹, Bidyarthi Dutta ¹

Affiliations
1 Department of Library and Information Science, Vidyasagar University, Midnapore 721102, West Bengal, IN

Abstract

This paper has empirically established a relationship between the number of citations received by the articles (both topten cited and others) and number of articles retrieved from Web of Science database in some areas of astrophysics. The study is based on the data retrieved from Web of Science (WoS) database for the period 1990 to 2014 in some areas of astrophysics. The search terms used in WoS were selected from Thesaurus of astronomy. In all, eighteen search terms were selected from some domains of astrophysics using systematic sampling method. Four fundamental variables associated with each search term are considered for this study. These variables are: Number of retrieved documents; total citations received by all retrieved documents (including self citation); total citations received by top 10 cited documents (including self citation) and age of the retrieved documents. On the basis of these four fundamental variables, five new variables are defined as follows, i.e. Average number of citations received by all retrieved articles; average number of citations received by top ten cited articles; Citation Gain; Citation Gain Index and Citation Gain Index per unit Age or Temporary Citation Gain Index. It has been observed that citation gain is directly proportional to number of retrievals. The analysis empirically established the skewed nature of citation distribution, i.e. accumulation of more citations around highly cited articles. The Temporary Citation Gain Index showed rectangular hyperbolic pattern with Publication age.

Keywords

Astrophysics, Scientometric Study, Highly Cited Articles, Relative Citation Share, Citation Analysis-Astronomy and Astrophysics, Citation Study, Stellar Physics, Web of Science, Solar Physics-Citation Study, Star, Nuclear Astrophysics-Citation Study.

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Soumen Teli ¹, Bidyarthi Dutta ¹

Affiliations
1 Department of Library and Information Science, Vidyasagar University, Midnapore − 721 102, West Bengal, IN

Abstract

This paper presents scientometric analysis of superconductivity research output in India from 1981 to 2014 and compares it with Global output as reported in Web of Science. The study shows that superconductivity research in India had a steep growth between 1981 and 1988, particularly an abrupt hike in 1987 is noticeable (both Indian and Global) followed by a more or less steady pattern thereafter up to 2014. The Indian growth pattern however differs from Global pattern. A sudden climb was noticed in 1987, which touched the crest in 1991. It started to descend thereafter steadily and troughed in 2003 followed by another steady rise again up to 2014. Indian trend thus shows a dip between 1992 and 2014 unlike Global pattern which was nearly steady over the span. The author productivity pattern only approximately corresponds to Lotka’s law. The number of core journals in the subject area is comparatively less as obtainable by employing Bradford’s law of scattering.

Keywords

Bradford’s Law, Growth of Literature, India, Logistic Model, Lotka’s Law, Scientometrics, Superconductivity Research.

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Soumen Teli ¹, Bidyarthi Dutta ²

Affiliations
1 Shyampur Siddheswari Mahavidyalaya, Ajodhya, Howrah − 711312, West Bengal, India; and Research Scholar, Department of Library and Information Science, Vidyasagar University, Midnapore − 721102, West Bengal, IN
2 Department of Library and Information Science, Vidyasagar University, Midnapore − 721102, West Bengal, IN

Abstract

Proteomics is the large scale of study of proteins with their function and structure. It is an approach for studying changes in metabolism in response to different stress conditions. It indicates the entire set of proteins that is, or can be, expressed by a genome, cell, tissue, or organism at a certain time. In India, the term ‘Proteomics’ was first used in an article on genomics in 1999. This paper presents the growth dynamics study of Indian and global proteomics research output with a comparative analysis. The growth pattern in India during 1999 to 2007 was exponential in nature followed by saturating power model, while the same for global research showed exponential pattern, followed by the saturating logarithmic curve. The speed of Indian growth was fast compared to global growth since after 2008 as evident from the magnitudes of AIS/AGS. The growth patterns followed Price’s law with an initial exponential trend followed by saturation thereafter. The magnitudes of the Activity Index over the years shows that Indian proteomics research is still far below the world average level, though the lowest AI in the year 2001 (0.002) escalated 19.5 times in 2015 (0.039). The Attractivity Index (AAI) values are found less than one indicating lower than world average impact values of Indian proteomics research, though it is continuously growing.

Keywords

De Solla Price’s Theory, Exponential Model, Global Proteomics Research, Growth Dynamics Study, Growth of Literature, Logistic Model, Proteomics Research.

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