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    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

    Proteomics in Mycorrhizal and plant pathogenic fungi

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    In the last years, the use of new -omics techniques have improved fungal studies by leading to new research opportunities able to get new insight regarding all aspects of environmental adaption and life cycle. In this context, the use of proteomic tools revealed new information about the fungal lifestyle, highlighting new insights into their relationships with plants. The present article focuses on two important fungal research fields, mycorrhizal and pathogenic fungi, to get an accurate picture from the most recent proteomic studies and the milestones that have improved the knowledge of the complex metabolism of these fascinating species called fungi
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