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    EQUAZIONI DI PREVISIONE DELLA DIGERIBILITÀ DELLA SOSTANZA ORGANICA E DELL'ENERGIA DI DIETE COMPLETE PELLETTATE A BASE DI FIENO DI MEDICA E SOTTOPRODOTTI FIBROSI PER AGNELLI IN ACCRESCIMENTO

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    Equations for estimating organic matter and energy digestibility of pelleted complet diets containing alfalfa hay and by-products for growing lambs – to estimate gross energy (dE) and organic matter (dOM) digestibility of pelleted diets (40% concentrate – 60% forages) multiple regressions equations were computed using as independent variables the chemical composition (as % on OM basis) of 9 diets and the results of 9 in vivo digestibility trials, using the acid insoluble ash method. The best equations were: dOM (as%) = -37.96 + 3.68 NDF – 0.00039 NDF3 – 0.0271 Cellulose2 – 2.219 ADL (R2=97.85 RSD=0.49) dE (as%) = 35.41 + 0.008 dOM2 – 0.9104 ADL + 0.004254 ADL3 (R2=99.84 RSD=0.13

    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
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