1,721,009 research outputs found
Divergence of nature myths and social relations Polish state foresters between hierarchical and egalitarian contexts
No full textForstpraxis und Wissenstransfer: Einflussfaktoren am Beispiel des Themas „Anpassung an den Klimawandel“
No full textForstpraxis und Wissenstransfer: Einflussfaktoren am Beispiel des Themas „Anpassung an den Klimawandel“
No full textMucolipidosis II is caused by mutations in GNPTA encoding the alpha/beta GlcNAc-1-phosphotransferase
No full textTiede S, Storch S, Lübke T, et al. Mucolipidosis II is caused by mutations in GNPTA encoding the alpha/beta GlcNAc-1-phosphotransferase. Nature Medicine. 2006;11(10):1109-1112
Divergence of nature myths and social relations: Polish state foresters between hierarchical and egalitarian contexts
No full textOn the basis of a survey among Polish foresters, the socio-cultural context of the Polish state forest organization is explored. The study is based upon Grid-group cultural theory, which assumes four political cultures (hierarchical, egalitarian, individualistic, fatalistic). These cultures comprise different perceptions of nature, compassed as nature myths. Yet testing the influence of the adherence to these nature myths on some variables (organizational level, main tasks, years in forestry, gender) showed that they are not a highly discriminating factor in this regard. However, they seem to influence opinions on the need for adaptation to climate change. Those foresters adhering to the hierarchical nature myth, who are the majority, consider it to be less important than the other foresters. Through additional measurements, it could also be shown that the socio-cultural context of state foresters is not only hierarchical, but also egalitarian. This is attributed to the particularities of the foresters’ work that requires flexibility when dealing with nature
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
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