Purpose: (1) To test basic assumptions underlying frequency-weighted citation analysis: (a) Uni-citations correspond to citations that are nonessential to the citing papers; (b) The influence of a cited paper on the citing paper increases with the frequency with which it is cited in the citing paper. (2) To explore the degree to which citation location may be used to help identify nonessential citations. Findings: Filtering out nonessential citations before assigning weight is important for frequency-weighted citation analysis. For this purpose, removing citations by location is more effective than re-citation analysis that simply removes uni-citations. Removing all citation occurrences in the Background and Literature Review sections and uni-citations in the Introduction section appears to provide a good balance between filtration and error rates. Research limitations:This case study suffers from the limitation of scalability and generalizability. We took careful measures to reduce the impact of other limitations of the data collection approach used. Relying on the researcher's judgment to attribute citation functions, this approach is unobtrusive but speculative, and can suffer from a low degree of confidence, thus creating reliability concerns. Practical implications:Weighted citation analysis promises to improve citation analysis for research evaluation, knowledge network analysis, knowledge representation, and information retrieval. The present study showed the importance of filtering out nonessential citations before assigning weight in a weighted citation analysis, which may be a significant step forward to realizing these promises.
Once a year, graduate students are invited to showcase their research by submitting a high-resolution image, accompanied by a title and short, plain-language description explaining how the image represents their research, to the University of Alberta (UAlberta) Libraries' Images of Research competition. This competition provides graduate students the opportunity to tell the story of their research to the broader campus community, encourages them to develop professional communication skills, and fosters community, while leveraging library expertise and spaces to promote the research occurring on campus. Submissions that meet eligibility requirements are judged on their originality, aesthetic appeal, relationship between the image and the student's research, and clarity of the accompanying title and description by a panel consisting of faculty, graduate students, and design or communications professionals. Twenty-four images are selected as semi-finalists, with six prize winners, including a People's Choice award, chosen from this group. Prize winners are announced at a catered reception in the library, where an exhibition of winning and semi-finalist entries remains on display for approximately one month. Winner and semi-finalist images are deposited in ERA [1], UAlberta's open access institutional repository after the conclusion of the competition. Entrants are surveyed after the competition so that their feedback can guide future iterations of the event, and the overall response has been extremely positive. The archived images have been featured in the UAlberta's alumni magazine, New Trail, on social media, as displays for meetings and in the Faculty of Graduate Studies and Research offices. The involvement of campus partners is a significant contributor to the ongoing success of the competition.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
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