Asian Journal of Information Science and Technology (AJIST) a Multidisciplinary Library and Information Science Journal is a refereed International Journal and publish from India. This Journal encompasses all branches of Library and Information Sciences and its sub – disciplines like Library Management; Information Systems & Services, Information Processing & Retrieval; Information Sources & Services; Community Information System, Scientometrics & Informetrics, IR Theory, Knowledge Organization; Information processing & retrieval, Classification, Preservation & Conservation, Information Management, Library classification, Information sources, Systems and Services, Computer Application in Library; Digital Library; Information Systems; Bibliographic Control, etc.

All papers are peer-reviewed and newly selected panels of international referees have been appointed to ensure that review is done rapidly and to the highest standards. Special topics will provide accounts of research, written periodically at the invitation of the Editorial Board by Library Professionals under the direction of Editor-in-Chief.

The subject of this paper is the Scientometric analysis of 601articles printed in “Journal of Postgraduate Medicine” from 2013 to 2017. The study focuses on numerous aspects of the journal like the year wise distribution of articles, annual rate of growth, authorship pattern, authorship productivity,degreeof collaboration, and collaborative index. The maximum number of 153(25.5%) papers were published in 2017 and the minimum of 98(16.3%) in 2013. The study shows that the maximum of 201(33.4%) out of 601articles are contributed by more than four authors and the single author contribution constitute the minimum number 95(15.5%). It is analyzed that minimum AAPP as 2.12 with maximum productivity per author is 0.47 in the year 2017and maximum AAPP as 6.25 with minimum productivity per author is 0.15 within the year 2013. Overall the average degree of collaboration was 0.84, and the average collaborative index was 3.6.The range of AGR is between(31.9%) and (56.1%). This study might fecilitate people who would like to map the scientometric patterns of journals or establishments or individual.