1,720,998 research outputs found
An in vitro assay for evaluating chemosensitivity of leukaemia cells: preclinical studies
The present study was aimed at defining the standard conditions for predictive chemosensitivity testing of human leukaemias. The in vitro cytotoxic potential of 11 anticancer drugs against L1210 murine leukaemia was comparatively determined 3 and 48 h after in vitro exposure of leukaemia cells to these agents. In preliminary testing, drug-induced damage was estimated in terms of percent inhibition of: tumour cell proliferation, by microscopic determination of viable cell numbers; and DNA synthesis, by measuring the extent of incorporation of the labelled nucleoside 125IUdR. Since the two tests appeared to yield comparable results, all subsequent experiments on the various murine tumours were performed using the radiolabel incorporation technique. The results obtained pointed out that this metabolic assay performed 48 hours after drug exposure appears to be capable of predicting both "spontaneous" and "induced" in vivo resistance of murine leukaemias
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
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
CEA RELATED PEPTIDE CANCER THERAPEUTICS
VACCINO PEPTIDICO ANTI-CEA PER LA TERAPIA DI NEOPLASIE MALIGNE PRODUCENTI CEA IN CONCOMITANZA CON CHEMIOTERAPI
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
Connection between lower natural killer function and susceptibility to viral infections in cluster headache
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