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Correspondence from Daryl Chase to C. Taylor Burton, November 25, 1961
No full textCorrespondence from Daryl Chase to C. Taylor Burton, November 25, 1961. Response to the Road Constuction and Resource Use statement
Correspondence from J. Whitney Floyd to C. Taylor Burton, June 30, 1961
No full textCorrespondence from Dean J. Whitney Floyd, College Forest, Range and Wildlife Management, to C. Taylor Burton of Utah Highway Department on June 30, 1961 about Logan Canyon Road
Correspondence from C. Taylor Burton to Daryl Chase, November 20, 1961
No full textCorrespondence from C. Taylor Burton to Daryl Chase, November 20, 1961 about highway construction and the Committee report
Correspondence from C. Taylor Burton to Daryl Chase, July 12, 1961
No full textCorrespondence from C. Taylor Burton, Director of Highways, to Daryl Chase, Utah State University, on July 12, 1961, about passing lanes on highway and the Fish and Game Commission's proposed modification of the highway between Station 565 and 595
C. Taylor Burton
No full textC. Taylor Burton was president of the Utah Senate, 31st Session, in 1955
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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