130,977 research outputs found
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
An Examination of the Globalisation of Authorship in Publishing in 20 Leading Marketing Journals
No full textPurpose of this paper is to examine the global contribution of academics to marketing literature between 1999 and 2003, based on an examination of the location of academics institution of employment, as reported in published works. The data is used to evaluate the global dispersion of publishing.\ud
Design/approach. The paper uses the method of content analysis where the authorship of all articles in 20 leading marketing journals between 1999 and 2003 is examined. An empirical examination of performance was undertaken across geographic regions. There was also an examination of whether the quality of journal affected regional performance.\ud
Findings. The research found that there is a significant "bias" of authorship within the 20 journals examined, with the majority of works published by academics at institutions in North America. There is some variation in regional performance based on the type of journal examined. Limitations. There was no attempt to empirically examine why differences might exist. The study only focused on a sample of 20 English language journals over 5 years. These journals have been included in studies that list the leading marketing journal for US and European academics. Practical Implications. The research suggests that there may in fact be regional differences in publishing behaviour. It is unclear if these differences relate to variations in the "objectives" of institutions within each country or other factors, such as the North American publish-or-perish mentality. The research posits that a marketing knowledge may be unnecessarily restricted, if there is a bias against non-North American perspectives. Originality. While there have been other works examining research performance of institutions, there has been limited examination in marketing on the nation in which authors work and none have used a broad cross-section of journals. This work takes a global "snapshot" of national research performance within marketing
Mitogen induction of ion channels in murine T lymphocytes.
No full textUsing gigohm-seal recording, we studied ion channel expression in resting and activated T lymphocytes from mice. Both the number of channels per cell and the predominant type of K+ channel depend upon the state of activation of the cell. Unstimulated T cells express small numbers of K+ channels, typically a dozen per cell, and are heterogeneous, usually expressing either type n or type l K+ channels (see DeCoursey, T. E., K. G. Chandy, S. Gupta, and M. D. Cahalan. 1987. Journal of General Physiology. 89:379-404). 1 d after stimulation by the murine T cell mitogen concanavalin A, large numbers of type n K+ channels appear in enlarged, activated cells. Type n channels appear in activated cells with a time course consistent with that reported for mitogen-induced enhancement of protein synthesis. Voltage-gated tetrodotoxin-sensitive Na+ channels present in about one-third of unstimulated cells from the MRL-n strain are increased approximately 10-fold after activation
Sensor Networks for Geospatial Event Detection - Theory and Applications
No full textThis thesis presents theories, analyses, and algorithms for detecting and estimating parameters of geospatial events with today's large, noisy sensor networks. A geospatial event is initiated by a significant change in the state of points in a region in a 3-D space over an interval of time. After the event is initiated it may change the state of points over larger regions and longer periods of time.
Networked sensing is a typical approach for geospatial event detection. In contrast to traditional sensor networks comprised of a small number of high quality (and expensive) sensors, trends in personal computing devices and consumer electronics have made it possible to build large, dense networks at a low cost. The changes in sensor capability, network composition, and system constraints call for new models and algorithms suited to the opportunities and challenges of the new generation of sensor networks.
This thesis offers a single unifying model and a Bayesian framework for analyzing different types of geospatial events in such noisy sensor networks. It presents algorithms and theories for estimating the speed and accuracy of detecting geospatial events as a function of parameters from both the underlying geospatial system and the sensor network. Furthermore, the thesis addresses network scalability issues by presenting rigorous scalable algorithms for data aggregation for detection. These studies provide insights to the design of networked sensing systems for detecting geospatial events.
In addition to providing an overarching framework, this thesis presents theories and experimental results for two very different geospatial problems: detecting earthquakes and hazardous radiation. The general framework is applied to these specific problems, and predictions based on the theories are validated against measurements of systems in the laboratory and in the field.</p
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
The R&D Tax Incentives
No full textThis article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives
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