Articlegold2015

A bibliometric analysis of cancer research in South Africa: study protocol

Jennifer Moodley · Vedantha Singh · Benjamin M. N. Kagina · Leila Hussein Abdullahi · Gregory Dudley Hussey

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scientometrics and bibliometrics research Psychology Research and Bibliometrics Diverse Approaches in Healthcare and Education Studies

Abstract

INTRODUCTION: Cancer is an important and growing public health burden in South Africa (SA). Over the past few decades, there has been considerable scientific activity in cancer in SA. However, there has been limited analysis of cancer scientific publications. In this paper, we present a protocol for bibliometric analysis of cancer research conducted in SA. METHODS AND ANALYSIS: A comprehensive search of the journal databases PubMed, SCOPUS, Web of Science and EBSCO will be conducted to identify and retrieve data from primary peer-reviewed cancer research articles using a set of consensus search words. Articles that involve cancer research conducted in SA or using biological or clinical data from South African participants and published between 2004 and 2014 will be included in the study. Two independent researchers will screen the articles for eligibility. Bibliometric indicators and study characteristics will be extracted, entered into a database and analysed. The cancer disease site will be recorded and research will be classified using the Common Scientific Outline system. Data obtained will be analysed to determine SA's publication productivity index in cancer research. Annual trends in bibliometric indicators and the type of cancer research will be determined. The degree of collaboration in research conducted in SA will be analysed using co-authorship matrix software. A publication to disease type ratio will be used to assess scientific production relative to disease burden. ETHICS AND DISSEMINATION: As this analysis will draw on publicly available data and does not directly involve human participants, ethical review is not required. We anticipate that the bibliometric analysis will identify the trends in cancer research productivity and the extent to which cancer research is aligned to the local burden of disease. Results will be published in peer-reviewed journals and presented in a user-friendly format to relevant policymakers and funders.

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1969Statistical bibliography or bibliometrics 2008The Eigenfactor™ Metrics: Figure 1.2004Use of research to inform public policymaking 2010Representation of Cancer in the Medical Literature - A Bibliometric Analysis 2002Diabetes Research in India and China Today: From Literature-based Mapping to Health-care Policy 2010Ten good reasons to use the Eigenfactor™ metrics 2010Understanding the impact of public policy on cancer research: A bibliometric approach 2002Tuberculosis Research in India and China: From Bibliometrics to Research Policy

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