126,359 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
De Wet Reitz Simulation and Economic Analysis Model
Thesis (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2012.De Wet Reitz requires a model to simulate the amount of property conveyance tasks that will be generated at ideal conditions, from the joint venture of a real estate company. The amount of conveyance tasks are determined by a “series” predetermined by De Wet Reitz. These conveyance tasks will generate income; thus resources will be needed to process the conveyance tasks because at present the resources are not optimal and also not sufficient.
The simulation of the amount of tasks will be performed by a Monte Carlo simulation that will also display different scenarios. The inputs of the Monte Carlo simulation will be able to be changed as to generate different scenarios.
This joint venture project requires investment from other capital sources; therefore a need exists for a model to estimate the break-even point and the capital needed before the break-even point is achieved. In addition there is a need for the optimal amount of resources to optimise the workload and maximise the income relative to the cost. This can be accomplished through a cash flow projection method and calculations completed from the projections. The projections is also required by De Wet Reitz.
The model will be built in Java. Java is able to accommodate these simulation needs together with the solutions, for building the simulation model. The model is completed in Java and will accommodate the average income per branch from De Wet Reitz.
The model will simulate, optimise and visualise the cash flow of De Wet Reitz and through this method De Wet Reitz will be able to determine whether the scenarios are feasible. The result of the simulation will be measured against De Wet Reitz expectations, if the models’ output shows less than expected management will be able to change inputs and scenarios until the desired effect is achieved, for verification, and what factors should be changed and managed to achieve the desired result.
This model may also be edited for future implementation into other De Wet Reitz projects. The model will ultimately simulate the profit and display it as a projection. De Wet Reitz will then be able to identify the number of resources that should be allocated at a specific time, the amount of capital needed for the project and if the project is feasible within a 60 month period
Updating the dual role of brain nitric oxide in neurodegeneration/neuroprotection: understanding molecular mechanisms to devise drug approaches.
In the framework of articles dealing with central nervous system disorders, the paper addresses the multiple roles of the diffusible messenger, Nitric oxide
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