130,425 research outputs found
MeSH term explosion and author rank improve expert recommendations
Information 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
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
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both 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.
Anaphylaxis mediated through a humanized high affinity IgE receptor.
Mast cells and basophils, which are activated by IgE and allergens through the high affinity IgE receptor (Fc epsilon RI), play a prominent role in anaphylaxis in the mouse. Mice deficient in this receptor become resistant to passive anaphylaxis. As a first step in developing an in vivo model that more closely mimics the IgE-mediated responses in man, we used a combination of transgenic and embryonic stem cell technology to generate a mouse line in which the murine Fc epsilon RI alpha-chain has been replaced with its human homologue. We demonstrate here that these mice express a tetrameric high affinity IgE receptor, in which the human alpha-chain associates with the murine beta- and gamma-chains, and that upon triggering with relevant Ag, this receptor mediates the initiation of the expected intracellular events. In addition, we show that the human alpha-chain restores an anaphylactic response to the nonresponsive alpha-deficient parental mouse line. This "humanized" mouse represents a potentially important model system, not only for studying the role of IgE in human immune responses, but also for testing potential therapeutic reagents that can interfere with responses mediated through the human Fc epsilon RI receptor.Journal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, P.H.S.info:eu-repo/semantics/publishe
An antitumor cellular vaccine based on a mini-membrane IgE
The IgE-mediated immune system activation can be redirected to combat tumors. Mouse and human IgE have been shown to provide a potent adjuvant effect in antitumor vaccination, with a crucial role played by FcεRI. This effect results from T cell-mediated adaptive immune response. Modified vaccinia virus Ankara (MVA) has been used to infect IgE-loaded tumor cells. These results led to a shift toward a highly safe protocol employing membrane IgE (mIgE), thus eliminating any possible anaphylactogenicity caused by circulating IgE. Evidence that human mIgE and a truncated version lacking IgE Fabs (tmIgE) bind and activate FcεRI has been fundamental and forms the core of this report. Human tmIgE has been engineered into a recombinant MVA (rMVA-tmIgE), and the expression of tmIgE and its transport to the surface of rMVA-tmIgE-infected cells has been detected by Western blot and cytofluorimetry, respectively. FcεRI activation by tmIgE has been confirmed by the release of β-hexosaminidase in a cell-to-cell contact assay using human FcεRI-transfected RBL-SX38 cells. The rMVA-tmIgE antitumor vaccination strategy has been investigated in FcεRIα(-/-) human FcεRIα(+) mice, with results indicating a level of protection comparable to that obtained using soluble human IgE tumor cell loading. The rMVA-tmIgE vector represents a device that suits safe IgE-based antitumor vaccines, harboring the possibility to couple tmIgE with other gene insertions that might enhance the antitumor effect, thus bringing the field closer to the clinics
Antitumor IgE adjuvanticity : key role of Fc epsilon RI
Working with C57BL/6 mouse tumor models, we had previously demonstrated that vaccination with IgE-coated tumor cells can protect against tumor challenge, an observation that supports the involvement of IgE in antitumor immunity. The adjuvant effect of IgE was shown to result from eosinophil-dependent priming of the T cell-mediated adaptive immune response. The protective effect is likely to be mediated by the interaction of tumor cell-bound IgE with receptors, which then trigger the release of mediators, recruitment of effector cells, cell killing and tumor Ag cross-priming. It was therefore of utmost importance to demonstrate the strict dependence of the protective effect on IgE receptor activation. First, the protective effect of IgE was confirmed in a BALB/c tumor model, in which IgE-loaded modified VV Ankara-infected tumor cells proved to be an effective cellular vaccine. However, the protective effect was lost in Fc(epsilon)RIalpha(-/-) (but not in CD23(-/-)) knockout mice, showing the IgE-Fc(epsilo)nRI interaction to be essential. Moreover, human IgE (not effective in BALB/c mice) had a protective effect in the humanized knockin mouse (Fc(epsilon)RIalpha(-/-) hFc(epsilon)RIalpha(+)). This finding suggests that the adjuvant effect of IgE could be exploited for human therapeutics
Allergy-associated FcRbeta is a molecular amplifier of IgE- and IgG-mediated in vivo responses.
A role for the Fc receptor beta chain (FcRbeta) in the pathogenesis of allergy has been suggested by genetic studies. FcRbeta is a subunit common to the high-affinity IgE (FcepsilonRI) and low-affinity IgG (FcgammaRIII) receptors, both of which contribute to the initiation of allergic reactions. Current in vitro data suggest that FcRbeta can function as either a positive or negative regulator, leaving a mechanistic explanation for its association with the development of atopy unclear. To address this controversy, we have generated novel mouse models relevant to human Fc receptor function. Analysis of FcepsilonRI- and FcgammaRIII-dependent responses in these mice provides unequivocal genetic evidence that FcRbeta functions as an amplifier of early and late mast cell responses and, remarkably, in vivo anaphylactic responses.In VitroJournal ArticleResearch Support, Non-U.S. Gov'tinfo:eu-repo/semantics/publishe
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
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
At 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
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