1,721,065 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Integrating genome and epigenome in human disease
No full textTranscription factors (TFs) and the core components of the epigenome, DNA methylation and histone modifications interact in the epigenetic machinery. Expression of key three-four selected transcription factors can dedifferentiate differentiated cells into induced pluripotent stem cells with a totally distinct epigenome. Out of the around 2,000 nuclear proteins, around 350 are known to cause disease when mutated. The conditions range from rare syndromes to common diseases. Mutations are found in all components of the epigenetic machinery, e.g. proteins mediating DNA methylation and those binding to methylated cytosine, histone proteins and enzymes adding or removing modifications to histone tails, those binding to the modifications as well as proteins in the basal transcription machinery. Sequence specific transcription factors are the most abundant nuclear proteins and mutations in them cause a wide range of diseases affecting different organs in the developing or mature organism. Even if a mutated protein is present in most or all cell-types, a specific disease is often found only in one or a few types. The reason for this is unclear and an interesting topic for future research. One hypothesis is that the disease is caused by the mutated protein interacting with other tissue restricted proteins. Technical breakthroughs like chromatin immunoprecipitation and analysis on next generation sequencers (ChIP-seq) mean that these processes can be systematically studied. </p
Variations on the Author
Get PDF“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
Get PDFWe 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
Decreasing genetic evidence that glutathion S-transferase M1 is predisposing to glaucoma
No full textDispelling the Myths Behind First-author Citation Counts
Get PDFWe 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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