1,720,969 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
Lymphoma Immunotherapy: Current Status
The rationale to treat lymphomas with immunotherapy comes from long-standing evidence on their distinctive immune responsiveness. Indolent B-cell non-Hodgkin lymphomas, in particular, establish key interactions with the immune microenvironment to ensure prosurvival signals and prevent antitumor immune activation. However, reports of spontaneous regressions indicate that, under certain circumstances, patients develop therapeutic antitumor immunity. Several immunotherapeutic approaches have been thus developed to boost these effects in all patients. To date, targeting CD20 on malignant B cells with the antibody rituximab has been the most clinically effective strategy. However, relapse and resistance prevent to cure approximately half of B-NHL patients, underscoring the need of more effective therapies. The recognition of B-cell receptor variable regions as B-NHL unique antigens promoted the development of specific vaccines to immunize patients against their own tumor. Despite initial promising results, this strategy has not yet demonstrated a sufficient clinical benefit to reach the regulatory approval. Several novel agents are now available to stimulate immune effector functions or counteract immunosuppressive mechanisms, such as engineered antitumor T cells, co-stimulatory receptor agonist, and immune checkpoint-blocking antibodies. Thus, multiple elements can now be exploited in more effective combinations to break the barriers for the induction of anti-lymphoma immunity
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Sialidase NEU4 is involved in glioblastoma stem cell renewal and survival
Glioblastoma multiforme (GBM) is the most lethal primary brain tumor. GBM progression is strictly related to the malignant behavior of a cell subpopulation that shows stem characteristics. This subpopulation is known as GBM stem cells and is endowed with a great potential of self-renewal and resistance to radio/chemotherapy.
We demonstrated that GBM stem cells isolated from the cell line U87MG and from patients show a significant up-regulation of the sialidase NEU4, in comparison to GBM cells, which constitute the bulk of tumor. In order to understand the significance of the altered expression of NEU4, we stably silenced it by RNA interference in GBM stem cells isolated from the U87MG cell line. After silencing, GBM stem cell survival significantly decreased (69% after 15 days). The primary mechanism of cell death was assessed to be mitotic catastrophe, as demonstrated by the presence of multiple nuclei in single cells and by the block of cell cycle in G2/M phase with an increase of cyclin B1. A partial inhibition of key signaling pathways directly connected with GBM stem cell renewal came before cell death: in particular, we detected the increase of the active form of GSKβ3 that inhibits Sonic Hedgehog and Wnt/β catenin pathways and in parallel we recorded the decrease, as mRNA expression, of the transcriptional factors NANOG, OCT-4, SOX-2, GLI-1, β catenin. In addition, ganglioside GD3 content decreased because of Sp1 factors and GD3 synthase expression decrease. Ganglioside GD3 is severely implicated in GBM progression.1 It could be hypothesized that NEU4 could control GSKβ3 activity through the desialylation of particular glycoproteins, as previously described.2 Based on these results, NEU4 up-regulation could be considered an alteration significantly interconnected with GBM stem cell survival and could represent a novel cue for therapy.
1. Sa G et al (2009) Cancer Res. 69(7):3095-104
2. Tringali C et al (2012) Int J Cancer 131(8):1768-7
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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