C. Sean burns University of Missouri, Columbia, Missouri, USA Collecting bibliographic references: a bibliometric analysis of CiteULike's collection as grounds for in-depth interviews Abstract: CiteULike helps users manage and share bibliographic references on the Web. This study is based on a bibliometric analysis of these references. The findings will lead to email-based interviews with esearchers recruited from CiteULike. The goal is to further our knowledge of the needs and practices of researchers and to explore implications for academic libraries Resume: CiteULike aide les usages a gerer et a partager des references bibliographiques sur le Web Cette etude se base sur une analyse bibliometrique de ces references. Les resultats meneront a des entrevues par courrier electronique avec des chercheurs, recrutes au moyen de citeULike Lobjectif est d'accroitre notre connaissance des besoins et des pratiques des chercheurs et d'en explorer Implication our les bibliotheques universitaires If we were able to examine what researchers are reading and what journal articles they are collecting, we would be able to address long-standing assumptions(Smith, 1981)within bibliometrics as well as potentially explore different dimensions of the citation network. For example, if it is true that many influences are not cited in article publications(MacRoberts MacRoberts, 2010)and that in general most journal articles are neither cited nor read(meho 2007), then one possible way to discover implicit influences is by examining what scholarly communications are collected by researchers. The collections of bibliographic references built by members of CiteULike and similar applications offer one more way to examine"the social worlds of authors"(Nicolaisen, 2003, p. 18) Inspired by these assumptions, concerns and apparent scholarly practices, this initial project began as an exploratory, bibliometric analysis of a systematic random sample of were revealing and hinted at questions concerning information seeking and implications engs bibliographic references taken from the CiteULike website. Although exploratory, the findi academic libraries First, the CiteULike data set was downloaded on May 18, 2010 and included identification numbers to 2, 419, 452 bibliographic references. A total of 999 items were taken as the sample and the identification numbers were used to retrieve the bibliographic references from the CiteULike website. Four could not be located on CiteULike and eighty-nine others were discarded because they were either incomplete, in a foreign language, or they were simple bookmarks to web pages rather than bibliographic references to articles, books, etc. Each reference was then searched on Google Scholar, which was unable to locate thirty-four. For the remaining 872, the citation count for each item was noted as well as whether Google Scholar linked to a full text copy, and if so, from whereC. Sean Burns University of Missouri, Columbia, Missouri, USA Collecting bibliographic references: A bibliometric analysis of CiteULike's collection as grounds for in-depth interviews Abstract: CiteULike helps users manage and share bibliographic references on the Web. This study is based on a bibliometric analysis of these references. The findings will lead to email-based interviews with researchers recruited from CiteULike. The goal is to further our knowledge of the needs and practices of researchers and to explore implications for academic libraries. Résumé : CiteULike aide les usagers à gérer et à partager des références bibliographiques sur le Web. Cette étude se base sur une analyse bibliométrique de ces références. Les résultats mèneront à des entrevues par courrier électronique avec des chercheurs, recrutés au moyen de CiteULike. L’objectif est d’accroître notre connaissance des besoins et des pratiques des chercheurs et d’en explorer l’implication pour les bibliothèques universitaires. If we were able to examine what researchers are reading and what journal articles they are collecting, we would be able to address long-standing assumptions (Smith, 1981) within bibliometrics as well as potentially explore different dimensions of the citation network. For example, if it is true that many influences are not cited in article publications (MacRoberts & MacRoberts, 2010) and that in general most journal articles are neither cited nor read (Meho, 2007), then one possible way to discover implicit influences is by examining what scholarly communications are collected by researchers. The collections of bibliographic references built by members of CiteULike and similar applications offer one more way to examine "the social worlds of authors" (Nicolaisen, 2003, p. 18). Inspired by these assumptions, concerns and apparent scholarly practices, this initial project began as an exploratory, bibliometric analysis of a systematic random sample of bibliographic references taken from the CiteULike website. Although exploratory, the findings were revealing and hinted at questions concerning information seeking and implications for academic libraries. First, the CiteULike data set was downloaded on May 18, 2010 and included identification numbers to 2,419,452 bibliographic references. A total of 999 items were taken as the sample and the identification numbers were used to retrieve the bibliographic references from the CiteULike website. Four could not be located on CiteULike and eighty-nine others were discarded because they were either incomplete, in a foreign language, or they were simple bookmarks to web pages rather than bibliographic references to articles, books, etc. Each reference was then searched on Google Scholar, which was unable to locate thirty-four. For the remaining 872, the citation count for each item was noted as well as whether Google Scholar linked to a full text copy, and if so, from where