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The purpose of this case study was to complement existing weeding and retention criteria beyond the most used methods in academic libraries and to consider citation counts in the identification of important scholarly works.

Using a small sample of items chosen for withdrawal from a small liberal arts college library, this case study looks at the use of Google Scholar citation counts as a metric for identification of notable monographs in the social sciences and mathematics.

Google Scholar citation counts are a quick indicator of classic, foundational or discursive monographs in a particular field and should be given more consideration in weeding and retention analysis decisions that impact scholarly collections. Higher citation counts can be an indicator of higher circulation counts.

The authors found little indication in the literature that Google Scholar citation counts are being used as a metric for identification of notable works or for retention of monographs in academic libraries.

The purpose of this paper is to investigate the feasibility of automating Google Scholar searching to harvest citation data of monographs for collection analysis.

This study discusses the creation and refinement of a Scraper application programming interface query structure created to match library collection inventories to their Google Scholar listings to retrieve citation counts.

This paper indicates that Google Scholar is a feasible and usable tool for retrieving monograph citation data.

This study shows that Google Scholar citation data can be harvested for monographs in an automated fashion to serve as a source of bibliographic data, something not typically done outside of individual academics and writers tracking their personal academic impact factors.

The purpose of this paper is to develop and promote a realistic understanding of young people and digital technology with a view to supporting information professionals in playing useful and meaningful roles in supporting current generations of young people. In particular the paper aims to offer a critical perspective on popular and political understandings of young people and digital technologies – characterised by notions of “digital natives”, the “net generation” and other commonsense portrayals of expert young technology users. The paper seeks to consider the accuracy of such descriptions in reflecting young people's actual uses of digital technology and digital information.

The paper provides a comprehensive review of the recent published literatures on young people and digital technology in information sciences, education studies and media/communication studies.

The findings show that young people's engagements with digital technologies are varied and often unspectacular – in stark contrast to popular portrayals of the digital native. As such, the paper highlights a misplaced technological and biological determinism that underpins current portrayals of children, young people and digital technology.

The paper challenges the popular assumption that current generations of children and young people are innate, talented users of digital technologies. Having presented a more realistic basis for approaching generational differences in technology use, the paper explores the functions and roles that information professionals can be expected to play in supporting young people in the digital age.