1,720,995 research outputs found
Antigenic heterogeneity of human mammary carcinoma cells defined by monoclonal antibodies
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Definition of antigenic heterogeneity and modulation among human mammary carcinoma cell populations using monoclonal antibodies to tumor associated antigens
No full textDifferential binding to human mammary and non-mammary tumors of monoclonal antibodies reactive with carcinoembryonic antigen
No full textA monoclonal antibody (B72.3) defines pattern of distribution of a novel tumor associated antigen in human mammary carcinoma cell population
No full textThe use of B72.3 second generation (CC) monoclonal antibody for the radioimmunolocalization of human carcinoma xenografts
No full textRadioimmunolocalization of Human Carcinoma Xenografts with B72.3 Second Generation (CC) Monoclonal Antibodies.
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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
Reactivity of a monoclonal antibody (B.72.3) with fixed sections of human mammary carcinomas.
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