A Bibliometric Analysis

Ceylon Medical Journal (CMJ) is the premier and oldest medical journal in Sri Lanka. Bibliometric studies on single journals are useful to find out the research trend in a discipline and publication trend of the journal. The objective of the study was to conduct a bibliometric study of CMJ. The study sought to identify co-authorship pattern, geographical distribution of authors, productive institutions, prolific authors, productive articles and the impact of the research work published in CMJ during the study period. The required data of all the selected articles published from 2003 to 2012, related to the analysis were collected from Scopus database. The collected data were analyzed in terms of bibliometric parameters by MS excel 2007 and Bibexcel. The study revealed multi authored articles occupy prominent position indicating cooperative research work. Three author contributions was the highest ranked authorship pattern. Majority (90%) of the authors publishing articles in CMJ were from Sri Lanka. The most prolific author contributed 18 articles during the study period. The most productive article received 57 citations recorded in SCOPUS database. University of Colombo and University of Kelaniya were leading institutions in publishing articles in CMJ during the study period. The study highlighted some research trends in health sciences and publishing trends of CMJ. The country distribution of authors showed that the journal reflects the research and views of health researchers mainly from Sri Lanka. The study provides suggestions to improve the impact of the research articles published in CMJ.

Annals of Library and Information Studies, 2018

This part of the study highlights the contents of the published articles in terms of various disciplines or sub-disciplines and the bibliometric aspects discussed in these articles. The analysis of 902 papers published by Indian scholars during1995-2014 indicates that the main focus of bibliometrics/scientometrics is on assessment of science and technology in India in different sub-disciplines including contributions by Indian states and other individual countries followed by bibliometric analysis of individual journals. Papers dealing with bibliometric laws received a low priority as compared to other subdisciplines of bibliometrics/scientometrics. The analysis of data indicates that the share of theoretical studies using mathematical and statistical techniques which were missing in the earlier period (1970-1994) has increased during 1995-2014. The field of medicine as a discipline received the highest attention as compared to other disciplines.

2020

Methods: This study was an attempt to analyze the scholarly documents published in Journal of Medical Sciences. All the original articles, reviews and case reports published from 2014 to 2018 were scrutinized. Website and hard copies of the Journal were used as data collection sources. Results: A total of 322 scholarly documents were studied. It was observed that male contribution is more prominent than female. The year 2017 was reported as the more productive. The contribution from Khyber Pakhtunkhwa was on the top followed by Islamabad and Punjab. Journals were declared as the more cited source followed by books. Medicine, Gynecology and Surgery were reported as the more addressed subjects. Conclusion: Journal of Medical Science Peshawar is a peer reviewed, open access, indexed quarterly Journal that publishes quality research in the field of health sciences. Local contributors are regularly publishing their research in this leading journal of medical sciences. Citation of quality, local and relevant literature will improve the standard of this Higher Education Commission (HEC) and Pakistan Medical and Dental Surgeon (PM& DC) recognized Journal.

The present bibliometric study has been undertaken with the view to understand the latest publication distribution pattern of the articles published in Guide to Indian Periodical Literature (GIPL) during the last two decade. Present analysis covers the areas like article distribution pattern, authorship pattern, reference, and geographical distribution of authors, etc. At the time of data mining of said journal, 1102 articles were published during the period 1991-2010. India since being the host country, as such proved to be one of the major contributors of the journal in every respect. Individual contribution of authors to the journal has been tabulated as per articles contributed, highlighted in their standing order. On average 55.1 articles have been published in each issue of each volume. Researchers from different countries across the world have contributed research articles to the journal during the period of study.

Bibliometric analysis is presently used for evaluating the qualitative and quantitative interest in a very specific field through the analysis of publications. This paper brings-out the bibliometric analysis result of research publications of Indian Institute of Science Education and Research (IISER), Thiruvananthapuram, for the period 2008-2013. During the period of study, it analyzed 157 research publications from the 76 journals. Further, it examines year-wise publications, journal wise distributions, document wise distribution of papers, productivity of faculty and researchers, further, findings of the study and conclusion are shown related to data analysis.

2015

IntroductionBibliometric statistics are used by institutions of higher education to evaluate the research quality and productivity of their faculty. With bibliometric indicators, such as gross totals of publications and citations and journal impact factors gives the consideration of tenure, promotion and reappointment decision at an individual level (Borgman & Furner 2002, Garfield 1983 part1, 2, Cronin & Atkins 2000, Epstein 2004, Maunder 2007). At the departmental, institutional, or national level, bibliometrics inform funding decisions (Borgman & Furner 2002, Murphy 1998, Lewison 1999), develop benchmarks (Borgman & Furner 2002, Noyons et al. 1999), and identify institutional strengths (Borgman & Furner 2002, Huang et al 2006, Schummer 2007), collaborative research (Borgman & Furner 2002, Garfield 1993), and emerging areas of research (Borgman & Furner 2002, Hinze 1994, Leydesdorff et al. 1994). Due to the important organizational and personnel decisions made from these analyses,...

2001

The study is based on 781 citations appended to 43 research articles pertaining to January to June 2000 issues of volume 109 of Indian Journal of Medical Research. The authorship pattern of the citations shows that more than 15 per cent contributions are single-authored and about 85 per cent are the result of teamwork. The team size of this field is bigger than those in the fields of chemistry and physics. Single-authored articles amount to 15.52 per cent of the total citations and about 28 per cent resulted through the collaboration of five or more authors. Of the citations 88.73 per cent pertain to journal articles. Of the citing articles 38 contributed by Indian authors, 3 by foreign authors and 2 jointly by Indian and foreign authors. Of the total citations 9.48 per cent are author self-citations and 7.3 per cent are journal self-citations.

2019

Background: The bibliometric or bibliographic analysis is a quantitative approach towards the documentary flow of information. The main theme behind this attribute is to analyze the bibliographic data of the research published by journals/scholars in a specific area. Being a portrait of the journal, it serves as an instrument for the promotion, quality, and standardization of journals. Objective: To study the bibliometric attributes of the published articles of Journal of Saidu Medical College (JSMC), Swat, Khyber Pakhtunkhwa, Pakistan from 2007 to 2017. Material & Methods: This study was a multi-dimensional bibliometric approach towards the research productively of an esteemed medical research journal published by Saidu Medical College, Saidu Sharif, Swat. The title, abstract, author's affiliation and collaboration, gender, subject matter, the date of publication and references were used as an information source for bibliometric data collection. Results: Male 823(86%) contribut...

The papers present Bibliometric study of Journal of Information Library and society during 2012 to 2016. This study analysis the different aspect of the journal with statically such as- year wise Distribution of article, cumulative total of article, Authorship Pattern, State wise distribution of article, Page lengths of the article and Types of Cited Documents. It found that out of 141 articles.The maximum 35 (24.82%) articles Published in the year 2016 and the minimum 21 (14.89 %) articles Published in the year 2014. Also out of 233 contributors. 71(30.47%) Articles were contributed by single authors, 104(46.63%) contributions by two authors, 54(23.17%) contributions by three authors, and 04(1.7%) 24 contributions by four authors. the highest 252 (24.34%) Document cited in the year 2012 and lowest 108 (10.43%) Document cited in the year 2013.

Abdella Mohammed Ahmed (M.Sc.), 2024

Ragnar Frisch is credited with literally coining interpreted, the econometrics means “economic measurement”, but described by leading econometricians. An econometrician has to be a competent mathematician and statistician who is an economist by training. Fundamental knowledge of mathematics, statistics and economic theory are a necessary prerequisite for this field. As Ragnar Frisch (1933) explains in the first issue of Econometrica, it is the unification of statistics, economic theory and mathematics that constitutes econometrics. Each view point, by itself is necessary but not sufficient for a real understanding of quantitative relations in modern economic life. Econometrics aims at giving empirical content to economic relationships. The three key ingredients are economic theory, economic data measurement’, nor ‘measurement without theo phenomena. It is as Frisch emphasized their union that is the key for success in the future development of econometrics. In general, Econometrics is the science which integrates economic theory, economic statistics, and mathematical economics to investigate the empirical support of the general schematic law established by economic theory. It is a special type of economic analysis and research in which the general economic theories, formulated in mathematical terms, is combined with empirical measurements of economic phenomena. Starting from the relationships of economic theory, we express them in mathematical terms so that they can be measured. We then use specific methods, called econometric methods in order to obtain numerical estimates of the coefficients of the economic relationships. [ In short, econometrics may be considered as the integration of economics, mathematics, and statistics for the purpose of providing numerical values for the parameters of economic relationships and verifying economic theories. What is a model? A model is a simplified representation of a real-world process. For instance, ‘the demand for oranges depends on the p there are a host of other variables that one can think of that determine the demand for oranges. These include:  Income of consumers  An increase in diet consciousness (e.g. drinking coffee causes cancer; so better switch to orange juice)  Increase or decrease in the price of substitutes (e.g. that of apple) However, there is no end to this stream of other variables! Many have argued in favour of simplicity since simple models are easier:  to understand  to communicate  to test empirically with data The choice of a simple model to explain complex real-world phenomena leads to two criticisms:  The model is oversimplified  The assumptions are unrealistic For instance, to say that the demand for oranges depends on only the price of oranges is both an oversimplification and an unrealistic assumption.  To the criticism of oversimplification, many have argued that it is better to start with a simplified model and progressively construct more complicated models.  As to the criticism of unrealistic assumptions, the relevant question is whether they are sufficiently good approximations for the purpose at hand or not. In practice we include in our model:  Variables that we think are relevant for our purpose.  A ‘disturbance’ or ‘error’ transmitted which well as all unforeseen forces.