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    Polychlorinated biphenyl (PCBs), dioxins and furans (PCDD/Fs): Occurence in fishery products and dietary intake

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    Concentrations and congener specific profiles of PCBs, PCDDs and PCDFs were determined in variousedible fish from the Adriatic Sea. PCBs were the dominant chemicals (116–1980 ng g1 lipid wt), followedby PCDFs (ND-58.3 pg g1 lipid wt) and PCDDs (ND-20 pg g1 lipid wt). The levels of these contaminantsvaried among species. Benthic organisms possessed the highest concentrations, followed by demersaland pelagic fish species. PCB and PCDD/F accumulation pattern in the samples analysed showed a distributiontypically reported for marine samples. The mean weekly intake of toxic equivalency (TEQ) wasestimated to be 0.84 pg TEQs/kg bw/week. The dioxin-like PCBs accounted for more than 77% of thisintake, followed by PCDDs (15.5%) and PCDFs (13.1%). In general, the samples analysed in this surveycan be considered safe with regard to the levels obtained and the in-force legislation, nevertheless theconsumption of some species may be of significance importance for consumer health.[...

    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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