1,720,980 research outputs found

    Neave and Zobel. Personality of dairy goats affects competitive feeding behaviour at different feeder heights - data sets and SAS code.

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    Raw data for competitive feeding behaviour and behavioural responses during personality tests of dairy goats provided different feed bunk heights

    Benetton et al., 2019 (Journal of Dairy Science) - SAS Codes and Data Sets

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    This repository contains SAS code and associated data sets for each of Experiment 1 and Experiment 2 described in Benetton et al., 2019. Automatic weaning based on individual solid feed intake: Effects on behavior and performance of dairy calves. Journal of Dairy Science. https://doi.org/10.3168/jds.2018-15830

    Neave et al. Anticipatory behaviour as an indicator of emotional state of dairy calves in different housing environments

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    This repository contains 3 data sets (raw data for anticipatory behaviour during all phases, raw data for reward pen behaviour in test phase, and raw data for reward pen behaviour in contrast phase), and SAS code used for statistical analysis. The first data (anticipatory behaviour - all phases) is used for statistical analysis, while the remaining two data sets (reward pen behaviours - test and contrast phases) are for descriptive purposes only

    Neave et al. 2020 - Long term consistency of personality traits of cattle (Royal Society Open Science)

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    We have provided the SAS code and data set with all variables (original and transformed) for each age period that were used as input variables in the 4 PCAs

    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

    Individual Differences in Conversational Self-Touch Frequency Correlate with State Anxiety

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    Acknowledgements We thank Mora Gray, Natalie-Anne Anderson, Lucy Gynn-Poisson, Antonia Kaye, Heather Neave and Madeleine Piller for their help with data collection, and Laura Szabo for her help with the reliability check of self-touch coding.Peer reviewe

    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
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