A Longitudinal Scientometric Analysis of Research Published in IFIP 9.4 (2002-2013)

The use of scientometric techniques for analyzing trends and patterns in IS research is becoming increasingly common. We describe how such techniques have been used to answer questions for the IS field as a whole and for specific research communities, journals, and topics. While scient-ometric analyses of ICT for development journals and conferences are starting to emerge, such studies have not employed longitudinal methods to analyze trends over time. We pose several questions that longitudinal scientometric methods can answer and then apply such methods to papers published in the oldest, largest conference in the area of ICT for development: IFIP 9.4. For the years 2002-2013, we identify the most frequent authors contributing to IFIP 9.4, as well as changes over time in terms of most frequent contributors and the institutions and countries represented. We also identify the frequently-cited sources in IFIP 9.4 papers, showing how they have changed over time. Finally, we use co-citation analysis to identify the topics analyzed in IFIP 9.4 papers, based on citations shared among papers. We conclude with directions that future research may address – such as comparing our results with other ICT4D conferences or journals

Time scale analysis of receptor enzyme activity : irreversible inhibition sometimes exhibits incubation-time independence

At early drug discovery, purified protein-based assays are often used to characterise compound potency. As far as dose response is concerned, it is often thought that a time-independent inhibitor is reversible and a time-dependent inhibitor is irreversible. Using a simple kinetics model, we investigate the legitimacy of this. Our model-based analytical analysis and numerical studies reveal that dose response of an irreversible inhibitor may appear time-independent under certain parametric conditions. Hence, time-independence cannot be used as evidence for inhibitor reversibility. Furthermore, we also analysed how the synthesis and degradation of a target receptor affect drug inhibition in an in vitro cell-based assay setting. Indeed, these processes may also influence dose response of an irreversible inhibitor in such a way that it appears time-independent under certain conditions. Hence, time-independent dose response in a cell assay also needs careful considerations. It is necessary to formulate a suitable model for analysis of protein-based assay and in vitro cell assay data to ensure a consistent understanding

Using Latent Semantic Analysis to Identify Themes in IS Healthcare Research

Latent Semantic Analysis (LSA) is a new text mining approach that is increasingly being adopted by IS scholars. In this paper, we provide an overview of various research contexts in which IS and other business scholars have applied this approach. We first identity the diverse body of scholarly and field-based contexts in which LSA has been applied. Next, we propose an empirical analysis of published research on healthcare information technology (HIT), to identify different themes in the IS literature from 1990 to the present date. Our empirical analysis will identify key research trends in IS journal papers for three time periods, based on an analysis of health-related papers published in 20 leading IS journals. In addition to providing more awareness of this research approach, we seek to identify important trends and changes in healthcare IT research over time