1,721,456 research outputs found
Supplementary_table5._Personal_driver_genes_that_are_significantly_correlated_to_clinical_outcomes_in_ccRCC_patients - Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma
No full textSupplementary_table5._Personal_driver_genes_that_are_significantly_correlated_to_clinical_outcomes_in_ccRCC_patients for Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma by Jin Li, Liping Guo, Li Chai, and Zisheng Ai in Technology in Cancer Research & Treatment</p
Supplementary_table4._Total_STRING_scores_of_personal_driver_genes_in_ccRCC - Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma
No full textSupplementary_table4._Total_STRING_scores_of_personal_driver_genes_in_ccRCC for Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma by Jin Li, Liping Guo, Li Chai, and Zisheng Ai in Technology in Cancer Research & Treatment</p
Supplementary_figure1_(1) - Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma
No full textSupplementary_figure1_(1) for Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma by Jin Li, Liping Guo, Li Chai, and Zisheng Ai in Technology in Cancer Research & Treatment</p
Supplementary_figure1_and_tables_1-5_legends - Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma
No full textSupplementary_figure1_and_tables_1-5_legends for Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma by Jin Li, Liping Guo, Li Chai, and Zisheng Ai in Technology in Cancer Research & Treatment</p
Supplementary_table1._Personal_driver_genes_in_417_ccRCC_patients_(1) - Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma
No full textSupplementary_table1._Personal_driver_genes_in_417_ccRCC_patients_(1) for Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma by Jin Li, Liping Guo, Li Chai, and Zisheng Ai in Technology in Cancer Research & Treatment</p
Supplementary_table6._Personalized_treatments_in_41_ccRCC_patients - Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma
No full textSupplementary_table6._Personalized_treatments_in_41_ccRCC_patients for Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma by Jin Li, Liping Guo, Li Chai, and Zisheng Ai in Technology in Cancer Research & Treatment</p
Supplementary_table3._The_set_of_KEGG_pathways_enriched_for_driver_genes - Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma
No full textSupplementary_table3._The_set_of_KEGG_pathways_enriched_for_driver_genes for Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma by Jin Li, Liping Guo, Li Chai, and Zisheng Ai in Technology in Cancer Research & Treatment</p
Supplementary_table2._The_list_of_biological_processes_enriched_for_driver_genes - Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma
No full textSupplementary_table2._The_list_of_biological_processes_enriched_for_driver_genes for Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma by Jin Li, Liping Guo, Li Chai, and Zisheng Ai in Technology in Cancer Research & Treatment</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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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