Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/6206
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBurrell, Q.-
dc.contributor.authorROUSSEAU, Ronald-
dc.date.accessioned2007-12-20T16:05:56Z-
dc.date.available2007-12-20T16:05:56Z-
dc.date.issued1995-
dc.identifier.citationJournal of the American Society for Information Science, 46(2). p. 97-102-
dc.identifier.urihttp://hdl.handle.net/1942/6206-
dc.description.abstractResponding to Leimkuhler's call for more computer experimentation in informetrics, this numerical study aims to illustrate observed appearances of fractional counts graphs. For instance, assuming a Lotka distribution for articles per author, it shows that for fields in which the single-author article dominates, a maximum value will always occur at one. However, in fields where the multiauthored article dominates, this maximum may be smaller than one.-
dc.language.isoen-
dc.publisherJohn Wiley & Sons, Inc.-
dc.titleFractional counts for authorship attribution: a numerical study-
dc.typeJournal Contribution-
dc.identifier.epage102-
dc.identifier.issue2-
dc.identifier.spage97-
dc.identifier.volume46-
dc.bibliographicCitation.oldjcat-
dc.identifier.doi10.1002/(SICI)1097-4571(199503)46:2<97::AID-ASI3>3.0.CO;2-L-
item.accessRightsClosed Access-
item.fullcitationBurrell, Q. & ROUSSEAU, Ronald (1995) Fractional counts for authorship attribution: a numerical study. In: Journal of the American Society for Information Science, 46(2). p. 97-102.-
item.fulltextNo Fulltext-
item.contributorBurrell, Q.-
item.contributorROUSSEAU, Ronald-
Appears in Collections:Research publications
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.