1,721,185 research outputs found
Figure S2 in Supplementary information: Bat coronavirus phylogeography in the Western Indian Ocean
No full textFigure S2. Mean CoV prevalence (mean ± 95% confidence interval) as function of the bat species.Published as part of Joffrin, Léa, Goodman, Steven M., Wilkinson, David A., Ramasindrazana, Beza, Lagadec, Erwan, Gomard, Yann, Minter, Gildas Le, Santos, Andréa Dos, Schoeman, M. Corrie, Sookhareea, Rajendraprasad, Tortosa, Pablo, Julienne, Simon, Gudo, Eduardo S., Mavingui, Patrick & Lebarbenchon, Camille, 2020, Supplementary information: Bat coronavirus phylogeography in the Western Indian Ocean, pp. 92-104 in Scientific Reports (supplement) 10 (6873) on page 103, DOI: 10.5281/zenodo.376864
Supplementary information: Bat coronavirus phylogeography in the Western Indian Ocean
No full textJoffrin, Léa, Goodman, Steven M., Wilkinson, David A., Ramasindrazana, Beza, Lagadec, Erwan, Gomard, Yann, Minter, Gildas Le, Santos, Andréa Dos, Schoeman, M. Corrie, Sookhareea, Rajendraprasad, Tortosa, Pablo, Julienne, Simon, Gudo, Eduardo S., Mavingui, Patrick, Lebarbenchon, Camille (2020): Supplementary information: Bat coronavirus phylogeography in the Western Indian Ocean. Scientific Reports (supplement) 10 (6873): 92-104, DOI: http://doi.org/10.5281/zenodo.3768642, URL: https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-020-63799-7/MediaObjects/41598_2020_63799_MOESM1_ESM.pd
Figure 1 in Bat coronavirus phylogeography in the Western Indian Ocean
No full textFigure 1. Geographic distribution of the tested samples. N: number of bats sampled for each location. The open-source GIS software, QGIS v.3.6.1, was used to generate the map. http://qgis.osgeo.org (2019).Published as part of Joffrin, Léa, Goodman, Steven M., Wilkinson, David A., Ramasindrazana, Beza, Lagadec, Erwan, Minter, Gildas Le, Santos, Andréa Dos, Schoeman, M. Corrie, Sookhareea, Rajendraprasad, Tortosa, Pablo, Julienne, Simon, Gudo, Eduardo S., Mavingui, Patrick & Lebarbenchon, Camille, 2020, Bat coronavirus phylogeography in the Western Indian Ocean, pp. 1-11 in Scientific Reports 10 (6873) on page 7, DOI: 10.1038/s41598-020-63799-7, http://zenodo.org/record/376859
Figure S1 in Supplementary information: Bat coronavirus phylogeography in the Western Indian Ocean
No full textFigure S1. Mean CoV prevalence (± 95% confidence interval) as function of the bat family. Letters a–c above the bars refer to significantly different averages based upon a Pairwise test. Bars can have more than one letter to reflect the "overlap" between them.Published as part of Joffrin, Léa, Goodman, Steven M., Wilkinson, David A., Ramasindrazana, Beza, Lagadec, Erwan, Gomard, Yann, Minter, Gildas Le, Santos, Andréa Dos, Schoeman, M. Corrie, Sookhareea, Rajendraprasad, Tortosa, Pablo, Julienne, Simon, Gudo, Eduardo S., Mavingui, Patrick & Lebarbenchon, Camille, 2020, Supplementary information: Bat coronavirus phylogeography in the Western Indian Ocean, pp. 92-104 in Scientific Reports (supplement) 10 (6873) on page 103, DOI: 10.5281/zenodo.376864
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
Figure 7 in Bat coronavirus phylogeography in the Western Indian Ocean
No full textFigure 7. Detail of the β-C CoV clade. CoVs generated in the study are indicated in bold. This sub-tree is a zoom on β-C CoV clade from the tree depicted in Fig. 3. Bootstrap values>0.7 are indicated on the tree. Scale bar indicates mean number of nucleotide substitutions per site.Published as part of Joffrin, Léa, Goodman, Steven M., Wilkinson, David A., Ramasindrazana, Beza, Lagadec, Erwan, Minter, Gildas Le, Santos, Andréa Dos, Schoeman, M. Corrie, Sookhareea, Rajendraprasad, Tortosa, Pablo, Julienne, Simon, Gudo, Eduardo S., Mavingui, Patrick & Lebarbenchon, Camille, 2020, Bat coronavirus phylogeography in the Western Indian Ocean, pp. 1-11 in Scientific Reports 10 (6873) on page 10, DOI: 10.1038/s41598-020-63799-7, http://zenodo.org/record/376859
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
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