124,057 research outputs found
Figure 1. Ouratea yamamotoana Fraga, G.H.Shimizu & D.B.O.S in Ouratea yamamotoana (Ochnaceae), a new species from the Brazilian Atlantic Forest
No full textFigure 1. Ouratea yamamotoana Fraga, G.H.Shimizu & D.B.O.S.Cardoso, sp. nov. A, Habit and inflorescences; B, detail of the leaf base; C, detail of the stipules; D, detail of the apex on the adaxial side of the leaf; E, branchlets, bracteoles and open flower in side view; F, flower, from the base; G, sepal, abaxial surface; H, petal, abaxial surface; I, stamens, abaxial surface; J, stamens in side view; K, pedicel and gynoecium in side view with sepals, petals and stamens removed; L, ovary, transverse section; M, fruit in side view. Drawn by Maria Alice Rezende from: A–L, the holotype, Freitas, M.F. 116 (RB); M, the paratype, Bovini, M.G. 646 (RB).Published as part of Fraga, C. N., Shimizu, G. H. & Cardoso, D. B. O. S., 2022, Ouratea yamamotoana (Ochnaceae), a new species from the Brazilian Atlantic Forest, pp. 1-9 in Edinburgh Journal of Botany 79 on page 3, DOI: 10.24823/EJB.2022.406, http://zenodo.org/record/737411
Replication data for: Candidates or Districts? Reevaluating the Role of Race in Voter Turnout
No full textLeading theories of race and participation posit that minority voters are mobilized by co-ethnic candidates. However, past studies are unable to disentangle candidate effects from factors associated with the places from which candidates emerge. I reevaluate the links between candidate race, district composition, and turnout by leveraging a nationwide database of over 185 million individual registration records, including estimates for the race of every voter. Combining these records with detailed information about 3,000 recent congressional primary and general election candidates, I find that minority turnout is not higher in districts with minority candidates, after accounting for the relative size of the ethnic group within a district. Instead, Black and Latino citizens are more likely to vote in both primary and general elections as their share of the population increases, regardless of candidate race
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Square Dancing with the Stars to Enhance Dynamic Hirschman Linkages?
No full textIn this Presidential Address, the author takes the reader on a reconnaissance of his life and time as a regional scientist. He points out scenery he found scintillating along the way, hoping that some may pick up the banner and chew on a few of the ideas for a while. He suggests a revisit to Albert O. Hirschman’s notion of key sectors and more empirical analysis related to Marcus Berliant’s and Masahisa Fujita’s notion of knowledge creation and transfer.Presidential Address, San Antonio, Texas, March 29, 2014 (53rd Meetings of the Southern Regional Science Association
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
When unpleasantness meets feminines: a behavioural study on gender agreement and emotionality (Vieitez et al., 2024)
No full textData corresponding to "When unpleasantness meets feminines: a behavioural study on gender agreement and emotionality" by Vieitez, L., Padrón, I., & Fraga, I. Manuscript in preparation for Cognition and Emotion
When unpleasantness meets feminines: a behavioural study on gender agreement and emotionality (Vieitez et al., 2024)
No full textData corresponding to "When unpleasantness meets feminines: a behavioural study on gender agreement and emotionality" by Vieitez, L., Padrón, I., & Fraga, I. Manuscript in preparation for Cognition and Emotion
Letter from unknown writer to Jesse L. Boyce
No full textLetter to Jesse L. Boyce from unknown author (possibly Jack) about the investigation into the powder magazine located in the Grand Canyon. Some personal news is included in the letter such as the writer's marriage to the daughter of C.A. Taylor, former Supervisor of Cochise County
Candidate Characteristics Cooperative (C3) 2018 Data
No full textThe Candidate Characteristics Cooperative (C3) 2018 Data is the result of a collaborative, hand-coded effort to code the race/ethnicity and gender of state legislative primary and general election candidates from 2018. Covering approximately 14,500 unique major-party and minor-party candidates, contributors were able to identify the race/ethnicity of 94% of the candidates. The C3 2018 dataset also has similarly complete coding of candidate gender. The data are useful for those studying legislative representation and elections in the United States
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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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