1,721,210 research outputs found
SEM and EDS results of <i>G. gallus</i> control sample.
No full text<p>A) SEM image of primary soft tissue in <i>G. gallus</i> control sample with primary blood cells observable. B) EDS results of primary soft tissue in <i>G gallus</i> control sample showing a high abundance of carbon.</p
Equation coefficients for the genes of <i>H. sapiens</i> and of <i>G. gallus.</i>
No full text<p>Coefficients of Equations 5 and 6 determined by fitting and for <i>H. sapiens</i> and <i>G. gallus</i> genes. All the data and were taken into account, except in the case of <i>G. gallus</i> where the coefficients of Equation 6 were estimated by fitting to the exclusion of the data corresponding to the first segment of the exons.</p
Epidemiological data on cervical carcinoma relevant to cytopathology
No full textEpidemiological studies based on cervical cytopathology have aroused widespread interest since it was realized that they could be a useful tool for measuring the effectiveness of screening programs and defining practical measures for the prevention of invasive neoplasms and deaths. In the present article, published evidence from screening programs, cohort investigations and case-control studies is reviewed, and possibilities for further analyses and applications are discussed. In particular, when estimates of the relative protections conveyed by Pap smear from various case-control studies conducted on different populations and using different criteria of selection were pooled, a surprisingly close concordance emerged, with overall risk estimates of invasive cervical cancer of 0.42 for women reporting one smear, and of 0.20 for two or more smears in the past. This protection appeared to be long-lasting in a considerable proportion of cases, since the major determinant of invasive cancer risk was the number of previous smears rather than the interval since last smear, and a noticeable residual effect was evident even more than 10 years after the last smear. Besides providing a measure of the effectiveness of cytological screening and helping define the optimal frequency of screening using the limited resources available, case-control studies should permit accurate estimates of the sensitivity of the test and quantify the probability of transition and the duration of various stages of the neoplastic process, i.e., permit a better understanding of the natural history of the disease
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
The genomic context around <i>HOXA7</i> in <i>G. gallus</i>.
No full text<p>The individual tracks and layout of this figure are as described in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094270#pone-0094270-g001" target="_blank">Figure 1</a>. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094270#pone-0094270-g002" target="_blank">Figure 2</a> shows a ∼6 kb region of <i>G. gallus</i>, chromosome 2 that encompasses <i>HOXA7</i> gene. The RNA-seq (Tracks E & F), Helicos BioSciences' DRS (Tracks A & K) and publically available EST (Tracks B & J) datasets for this region are ambiguous, but combined, the data clearly define the extent, and structure for this gene. Tracks C & I show the same additional annotation tracks as shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094270#pone-0094270-g001" target="_blank">Figure 1</a>. See the Materials and Methods section for more details on the generation and processing of the G. gallus RNA-Seq and DRS data-sets. EST data were taken from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094270#pone.0094270-Boardman1" target="_blank">[47]</a>.</p
Variations on the Author
Full text link“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
Full text linkWe 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
Full text linkWe 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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