Citation Patterns of Engineering, Statistics, and Computer Science Researchers: An Internal and External Citation Analysis across Multiple Engineering Subfields

Autor/in	Kelly, Madeline
Titel	Citation Patterns of Engineering, Statistics, and Computer Science Researchers: An Internal and External Citation Analysis across Multiple Engineering Subfields
Quelle	In: College & Research Libraries, 76 (2015) 7, S.859-882 (24 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0010-0870
DOI	10.5860/crl.76.7.859
Schlagwörter	Citation Analysis; Engineering Education; Statistics; Computer Science Education; Educational Research; Educational Researchers; Multidimensional Scaling; Journal Articles; Doctoral Dissertations; Research Methodology; STEM Education; Experimenter Characteristics; Layout (Publications); Educational Resources; College Libraries; Virginia + Suchen Sie Ihr Suchwort? Citation; Citations; Zitatenanalyse; Zitat; Ingenieurausbildung; Statistik; Computer science lessons; Informatikunterricht; Bildungsforschung; Pädagogische Forschung; Erziehungswissenschaftler; Erziehungswissenschaftlerin; Mehrdimensionale Analysis; Journal article; Zeitschriftenaufsatz; Doctoral dissertation; Doctoral thesis; Doctoral theses; Dissertationsschrift; Research method; Forschungsmethode; STEM; Textgestaltung; Bildungsmittel; College; Library; Libraries; Hochschule; Fachhochschule; Bibliothek; Universitätsbibliothek
Abstract	This study takes a multidimensional approach to citation analysis, examining citations in multiple subfields of engineering, from both scholarly journals and doctoral dissertations. The three major goals of the study are to determine whether there are differences between citations drawn from dissertations and those drawn from journal articles; to test a methodology incorporating both internal and external citation sources; and to explore the citation habits of researchers in science, technology, engineering, and mathematics (STEM) subfields. The results reveal variations in how STEM subfields conduct research in career and academic settings and are more nuanced than internal or external citation data alone can provide. The results have practical collection development implications. (As Provided).
Anmerkungen	Association of College and Research Libraries. 50 East Huron Street, Chicago, IL 60611. e-mail: acrl@ala.org; Web site: http://crl.acrl.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01