1,721,119 research outputs found
Structure and function of the natural-resistance-associated macrophage protein (Nramp1), a candidate protein for infectious and autoimmune disease susceptibility
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Genetics of host resistance and susceptibility to intramacrophage pathogens: a study of multicase families of tuberculosis, leprosy and leishmaniasis in north-eastern Brazil
No full textUse of immunological manipulations in studying genetically controlled responses to <i>Leishmania donovani</i> infection in mice
No full textIn the preceding paper Howard (p. 665) has given a very elegant presentation on ways in which the host immune system may be manipulated to provide valuable information about immunoregulation of parasitic infection in vivo. In our laboratory we have used some of the same manoeuvres to study immunoregulation of genetically controlled responses to Leishmania donovani infection in inbred mouse strains (Ulczak & Blackwell, 1983; Crocker, Blackwell & Bradley, 1984). As has been Howard's experience, the results obtained have not always been as one might have predicted at the outset.</jats:p
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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