id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
crl-16892	White, Philip B.	Using Data Mining for Citation Analysis	2019	18	.pdf	application/pdf	9503	359	41	The specific objectives were: • Discover key bibliometric trends of CUB Geological Sciences faculty publications in- cluding the publications in which the faculty’s work most frequently appears, the most frequently cited publications, and the average age of works the faculty cite in their publications; • Detect gaps in the earth sciences serials collection by identifying the most frequently cited works missing from the library’s collection; • Advance a streamlined, programmatic methodology for collecting citation data from the Web of Science database; and • Develop an automated or semiautomated process for reconciling faculty citation data to the local library holdings data. In a 2009 review of citation analysis studies, Allen Ashman suggests that future methodological approaches to citation studies will soon evolve to become deeper, more precise, and involve huge data sets—all incurring less effort by the researcher.5	cache/crl-16892.pdf	txt/crl-16892.txt