1,720,967 research outputs found

    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

    Author Index

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    Polymorphism of caprine SLC11A1 gene and relationships with hygienic characteristics of milk

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    "\"Th e solute carrier family 11 member A1 (SLC11A1) gene is associated with resistance. to infectious diseases. Genetic variability at the 3’ untranslated region (3’-UTR) of. this gene is due to the presence of a polymorphic microsatellites that contain a (GT) n. dinucleotide repeat. Th e microsatellite variability and relationships with milk yield. and composition, somatic cell count (SCC) and total microbic count (TMC) were investigated. in 260 goats of Sarda breed. Genotyping of the upstream guanine-thymine. repeat (GT)n revealed twenty diff erent genotypes and eight alleles (GT11, GT12,. GT14, GT15, GT16, GT17, GT18 and GT19). Th e present study confi rmed the high genetic. variability of the Sarda goat and that the genotype of the microsatellite at. 3’-UTR SLC11A1 aff ected many chemical and hygienic characteristics of milk as fat,. protein and SCC\"

    Effect of calcium sensitive casein genotype on milk yield, composition and renneting properties of Sarda goat.

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    "With the aim to assess the relationships between polymorphism at the calcium-sensitive casein. genes and yield, composition and renneting parameters of caprine milk, 200 Sarda goats,. genotyped at the CSN1S1, CSN2 and CSN1S2 genes, were utilised. Milk samples were. collected and daily milk yield was recorded at monthly intervals to determine: fat, protein, pH. (IDF 141C:2000) and coagulation properties (Formagraph instrument). Data were submitted to. a repeated-measures three-way GLM procedure; in the model CSN1S1, CSN2 and CSN1S2. were the random effects and only genotypes with frequencies higher than 4.0% were included.. The following genotypes were considered: at the CSN1S1 locus AA, AB, AF, BB, BF and FF;. at CSN2 AA, AC, CC and C01; at CSN1S2 AA, AC, AF, CC, CF and FF. Milk yield, which. varied in a range of 1,135 to 790 g\/d, was influenced by the effects of CSN1S1 (AA and BB >. BF and FF) and CSN1S2 (AC and CF > FF). As regards milk composition, the CSN1S1. genotype affected milk fat (AB > BB > BF and FF), protein (AB > BF > AF) and pH (AF and. FF > BB). The CSN2 genotype showed significant differences in protein (AA > AC > CC >. C01) and pH (AC > CC). At the CSN1S2 locus, significant differences occurred only for fat. (AC and CC > AA and CF). Fat and protein varied between 3.67 and 4.21 g\/100 mL and. between 4.60 and 5.03 g\/100 mL, respectively; the pH value varied between 6.67 and 6.71.. Clotting time (r) was affected only by CSN2, showing shorter mean times for AC and CC. (12.88 and 13.04 min) than AA (14.47 min). Curd firming time (k20) and curd firmness (a30). were influenced by all the three genes and varied between 1.90 and 2.74 min and between 47.4. and 35.2 mm, respectively. The CSN1S1 AB genotype displayed the lowest values of k20 and. the highest of a30, the FF genotype was opposite. The CSN2 C01, CC and AC genotypes. displayed decreasing values of k20, while CSN2 AC had the highest values of a30. The. CSN1S2 locus showed the highest values of k20 in the AA genotype and of a30 in AC and CC.. In conclusion, this study demonstrated the relationships between calcium-sensitive casein genes. and milk traits and provided useful information in order to improve genetic selection and. differentiation of productions.
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