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External and Internal Citation Analyses Can Provide Insight into Serial/Monograph Ratios when Refining Collection Development Strategies in Selected STEM Disciplines

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dc.contributor.authorKrueger, Stephanie
dc.date.accessioned2023-11-21T13:46:45Z
dc.date.available2023-11-21T13:46:45Z
dc.date.issued2017
dc.description.abstractA Review of Kelly, M. (2015). Citation patterns of engineering, statistics, and computer science researchers: An internal and external citation analysis across multiple engineering subfields. College and Research Libraries, 76(7), 859-882. http://doi.org/10.5860/crl.76.7.859en
dc.identifier.urihttps://hdl.handle.net/20.500.14391/1067
dc.language.isoen
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceoai:repozitar.techlib.cz:1164
dc.subjectanalýzacs
dc.subjectbibliometriecs
dc.subjectanalysisen
dc.subjectbibliometricsen
dc.subject.urihttp://psh.ntkcz.cz/skos/PSH11953
dc.subject.urihttp://psh.ntkcz.cz/skos/PSH14065
dc.titleExternal and Internal Citation Analyses Can Provide Insight into Serial/Monograph Ratios when Refining Collection Development Strategies in Selected STEM Disciplinescs
dc.typereview
dspace.entity.typePublication
idr.externalLocation.urihttp://doi.org/10.5860/crl.76.7.859
relatedItem.identifier.issn1715-720X
relatedItem.issue4
relatedItem.titleEvidence Based Library and Information Practice
relatedItem.volume11
relatedItem.year2016
relation.isAuthorOfPublication26df6426-5768-4787-9ee7-742ce6b756ec
relation.isAuthorOfPublication.latestForDiscovery26df6426-5768-4787-9ee7-742ce6b756ec
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