1,720,982 research outputs found

    Single cell analysis of clonal architecture in acute myeloid leukaemia

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    We used single cell Q-PCR on a micro-fluidic platform (Fluidigm) to analyse clonal, genetic architecture and phylogeny in acute myeloid leukaemia (AML) using selected mutations. Ten cases of NPM1c mutant AML were screened for 111 mutations that are recurrent in AML and cancer. Clonal architectures were relatively simple with one to six sub-clones and were branching in some, but not all, patients. NPM1 mutations were secondary or sub-clonal to other driver mutations (DNM3TA, TET2, WT1 and IDH2) in all cases. In three of the ten cases, single cell analysis of enriched CD34+/CD33- cells revealed a putative pre-leukaemic sub-clone, undetectable in the bulk CD33+ population that had one or more driver mutations but lacked NPM1c. Cells from all cases were transplanted into NSG mice and in most (8/10), more than one sub-clone (#2-5 sub-clones) transplanted. However, the dominant regenerating sub-clone in 9/10 cases was NPM1+ and this sub-clone was either dominant or minor in the diagnostic sample from which it was derived. This study provides further evidence, at the single cell level, for genetic variegation in sub-clones and stem cells in acute leukaemia and demonstrates both a preferential order of mutation accrual and parallel evolution of sub-clones

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

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    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
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