A bibliometric study of bioinformatics research in South Africa

Abstract

This paper reports on the practises of bioinformatics research in South Africa using bibliometric techniques. The search strategy was designed to cover the common concepts in biological data organisation, retrieval and analysis; the development and application of tools and methodologies in biological computation; and related subjects in genomics and structural bioinformatics. The South African literature in bioinformatics has grown by 66.5% between 2001 and 2006. However, its share of world production is not on par with comparator countries, Brazil, India and Australia.

Citation characterization and impact normalization in bioinformatics journals

“…Particularly, bibliometric analysis has been used for assessing the trends of bioinformatics research in particular countries (Guan & Gao, 2008;Molatudi et al, 2009), as well as the article key words, citation impact, and research collaboration (Glänzel, Janssens, & Thisjs, 2009;Patra & Mishra, 2006). However, in bioinformatics, there are two prominent factors in considering journal citation impact: article life span and citing propensity.…”

“…Bioinformatics is a rapidly growing, interdisciplinary field of science that applies methods from information technology, computer science, mathematics, and statistics to solve problems in biological science (Molatudi, Molotja, & Pouris, 2009). There are a growing number of massive and heterogeneous biological datasets, including genomics, transcriptomics, and proteomics data, which have been produced by new, affordable technologies such as genome sequencing (Brown, 2003; Drmanac, 2010).…”

A CERIF data model extension for evaluation and quantitative expression of scientific research results

“…Moreover, those data about results can be a starting point for various statistical examinations related to science. Papers (Schubert 2002;Qiu and Chen 2009;Gómez-Sancho and Mancebón-Torrubia 2009;Molatudi et al 2009;Klitkou and Gulbrandsen 2010) for the starting point of their research use data from research management systems. Also, those data can be used for evaluation of scientific research results according to national, regional and international rule books for evaluation and quantitative expression of scientific research results.…”

Use of Bioinformatics Tools in Different Spheres of Life Sciences

“…To avoid such failures, different bioinformatics tools have been developed to predict ADMET properties, which allow researchers to screen a large number of compounds to select most druggable molecule before launching of clinical trials [5]. Earlier, a number of reviews on various specialized aspects of bioinformatics have been written [6][7][8]. However, none of these articles makes it suitable for a scientist who does not belong to computational biology.…”