1,720,969 research outputs found
Supplementary Data: Figures, Tables, and Note
No full textThe Supplementary Data for the manuscript entitled , “Genetic Associations in Four Decades of Multi-Environment Trials Reveal Agronomic Trait Evolution in Common Bean”. This data includes a word document containing captions for all figures and tables, as well as two supplementary tables, four supplementary figures, and a supplementary note. It also contains three Excel documents containing three additional supplementary tables
SNP and Annotation Data for Switchgrass genome paper
No full textSNP data used for genome-wide association in the switchgrass genome paper. SNP data includes five sets of three SNP files (with the same filename, and .bed, .bim, and .fam file extensions), and two annotation data files
Replication Data for: Switchgrass Phenology Paper
No full textSNP data used for genome-wide association in the switchgrass phenology paper. SNP data includes three sets of three SNP files (with the same filename, and .bed, .bim, and .fam file extensions): genetic data for the Midwest genetic subpopulation, the Gulf genetic subpopulation, and Both genetic subpopulations
Aligned SNP Data for CDBN Genomics in Hapmap and Numeric Format
No full textThis dataset contains SNP data for replication of the genome-wide association results in the paper “Genetic Associations in Four Decades of Multi-Environment Trials Reveal Agronomic Trait Evolution in Common Bean”. It contains SNP data for 348 genotypes of common bean (Phaseolus vulgaris), grown as part of the Cooperative Dry Bean Nursery. It contains this data in both hapmap and numeric format. To create the hapmap data, aligned SNP data was created from raw sequence data using the pipeline at https://github.com/Alice-MacQueen/SNP-calling-pipeline-GBS-ApeKI . It was then imputed using FILLIN and filtered to contain only SNPs with a minor allele frequency of 5% or higher, and with missing data of 120 individuals or fewer. The hapmap file was used to create single chromosome files in numerical format, which GAPIT accepts, using GAPIT
Replication Data for: Switchgrass Genome Paper
No full textR script containing the code to replicate the results of the switchgrass genome paper. Includes code to: a) run the neural network to assign ecotypes to switchgrass individuals, identified by PLANT_ID's (six character strings that typically begin with J), based on individuals with confidently assigned ecotypes; b) run the discriminant analysis of principle components to assign individuals to the three genetic subpopulations; 1) Run genome-wide association (GWAS); 2) Find gene annotations for top GWAS hits; 3) Make multivariate adaptive shrinkage input dataframes from GWAS hits; 4) Run multivariate adaptive shrinkage; 5) Find heritabilities for GWAS hits and the polygenic background, and do regional heritability mapping for biomass phenotypes
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
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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