Using Data Mining for Citation Analysis

Fuente: ERIC Institute of Education Sciences

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Bibliographic Details
Main Author:	White, Philip B.
Format:	Recurso educativo Open Access
Language:	en
Published:	2019
Subjects:	Data Analysis Citation Analysis Citations (References) Faculty Publishing Geology Universities College Faculty Databases Library Materials Periodicals Earth Science Academic Libraries
Online Access:	Acceder al recurso
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author	White, Philip B.
author_facet	White, Philip B. White, Philip B.
collection	Education Resources Information Center
contents	Using Data Mining for Citation Analysis White, Philip B. Data Analysis Citation Analysis Citations (References) Faculty Publishing Geology Universities College Faculty Databases Library Materials Periodicals Earth Science Academic Libraries This paper presents a new model for citation analysis, applying new methodological approaches in citation studies. These methods are demonstrated by an analysis of cited references from publications by the Geological Sciences faculty at the University of Colorado Boulder. The author made use of simple Python scripting, the Web of Science API, and OpenRefine to examine the most frequently cited journals and compare them to library holdings data to discover materials absent from the local collection. Of the more than 20,000 citations analyzed, 80 percent cited approximately 10 percent of all titles (412 journals). A notable finding was the heavy reliance of faculty members upon works between zero and two years of age. The streamlined model presented here removes the constraints of time and effort encountered by academic librarians interested in conducting citation analyses.
format	Recurso educativo Open Access
id	eric_EJ1202321
institution	ERIC Institute of Education Sciences
language	en
publishDate	2019
record_format	eric
spellingShingle	Using Data Mining for Citation Analysis White, Philip B. Data Analysis Citation Analysis Citations (References) Faculty Publishing Geology Universities College Faculty Databases Library Materials Periodicals Earth Science Academic Libraries Using Data Mining for Citation Analysis White, Philip B. Data Analysis Citation Analysis Citations (References) Faculty Publishing Geology Universities College Faculty Databases Library Materials Periodicals Earth Science Academic Libraries This paper presents a new model for citation analysis, applying new methodological approaches in citation studies. These methods are demonstrated by an analysis of cited references from publications by the Geological Sciences faculty at the University of Colorado Boulder. The author made use of simple Python scripting, the Web of Science API, and OpenRefine to examine the most frequently cited journals and compare them to library holdings data to discover materials absent from the local collection. Of the more than 20,000 citations analyzed, 80 percent cited approximately 10 percent of all titles (412 journals). A notable finding was the heavy reliance of faculty members upon works between zero and two years of age. The streamlined model presented here removes the constraints of time and effort encountered by academic librarians interested in conducting citation analyses.
title	Using Data Mining for Citation Analysis
topic	Data Analysis Citation Analysis Citations (References) Faculty Publishing Geology Universities College Faculty Databases Library Materials Periodicals Earth Science Academic Libraries
url	https://eric.ed.gov/?id=EJ1202321

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// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

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