id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
crl-16892	White, Philip B.	Using Data Mining for Citation Analysis	2019-01-07	18	.pdf	application/pdf	9503	386	43	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. While the Web of Science API allows for great speed and efficiency, future researchers aiming to take advantage of these methods must have institutional subscriptions to Web of Sciences Web Services Expanded to access cited reference data following the techniques presented here.	cache/crl-16892.pdf	txt/crl-16892.txt