MacSphere Collection:
http://hdl.handle.net/11375/240
2024-03-29T05:32:59ZCitations in Wikipedia for Understanding Research Reach
http://hdl.handle.net/11375/29232
Title: Citations in Wikipedia for Understanding Research Reach
Authors: Smith, Denise; McKinnell, Jennifer; Young, Jack
Abstract: Research metrics (e.g., times cited, H-index) tell us about a publication's or researcher's impact within their scholarly community, but they do not describe impact outside academia. Altmetrics fills this gap by tracking mentions of academic publications in sources widely accessible to the public, including Wikipedia. Wikipedia is the most frequently accessed health information resource online and is well-positioned as a tool for public health education and knowledge translation. We explored our institution's impact on publicly available health and medical information by analysing its presence in Wikipedia article references.
In October 2022, a comprehensive database search was constructed in PubMed to retrieve secondary studies (e.g. systematic reviews, meta-analyses) published between 2017 and 2022 by at least one author from our institution (a research-intensive Canadian university). Altmetrics Explorer was used to access Wikipedia citation data for 3,582 secondary studies retrieved from PubMed.
The authors learned that 6% of health evidence syntheses from the authors' institution were cited 568 times in 524 Wikipedia articles across 29 unique languages. 45% of citations appeared in English Wikipedia, suggesting a broad global reach. A chi-square test confirmed a relationship between open-access publications and their presence in Wikipedia.
This talk will share our experience using Altmetrics Explorer to explore the impact of an institution's research. We will share our methodology, detailed results, and the insights gained from isolating Wikipedia citation data to explore the global, community-level reach of institutional contributions to health and medical evidence.
The authors are optimistic that this work will spark other researchers to consider how Wikipedia data can be used independently and alongside other data sources, like altmetrics, to demonstrate different ways to think about publication reach. Over time, similar studies could serve to change and enhance conversations about Wikipedia’s value as a public health resource and as an indicator of research reach.
Description: Presentation given at WikiConference North America 2023 at the Toronto Reference Library in Toronto, ON.2023-11-11T00:00:00ZPerceptions and behaviours of first year undergraduate health sciences students conducting online research
http://hdl.handle.net/11375/28710
Title: Perceptions and behaviours of first year undergraduate health sciences students conducting online research
Authors: Galbraith, Susanna2023-06-03T00:00:00ZDigital Commons: An Overview
http://hdl.handle.net/11375/14554
Title: Digital Commons: An Overview
Authors: Perkovic, Olga
Abstract: The session will consist of an introduction to the Digital Commons, McMaster University’s institutional repository (IR). Learn about the range of publications that are currently available through the IR, how depositing materials in this open access venue may enhance readership of your scholarly research and how submissions to the IR may be made. The implications of open access mandates currently being considered by Canada’s Tri-Council funding agencies will also be discussed.2013-10-24T00:00:00ZWikipedia: an unexplored resource for understanding consumer health information behaviour in library and information science scholarship
http://hdl.handle.net/11375/26812
Title: Wikipedia: an unexplored resource for understanding consumer health information behaviour in library and information science scholarship
Authors: Smith, Denise A.
Abstract: To date, health information behaviour models have not been applied to an exploration of Wikipedia as a consumer health information resource. Wikipedia has been situated and is well established as a valuable resource for the general layperson wishing to learn more about their health or the health of a loved one. This paper aims to identify an approach to exploring the role of Wikipedia in consumer health information behaviour that is grounded in a conceptual framework from the LIS discipline.
The author draws on current health information behaviour models and relevant theories from existing library and information science literature and applies them to propose a new definition of consumer health information behaviour. The author uses this definition to frame Wikipedia as an unexplored consumer health information resource in the library and information science scholarship and suggests future directions for placing such investigations within a conceptual framework from LIS.
The paper finds that Longo's Expanded Conceptual Model of Health Information Seeking Behaviour could be valuable and useful for the exploration of consumer health information behaviour in relation to Wikipedia's health and medical content. Due to Wikipedia's online nature, research framed by these models must acknowledge and take under consideration the digital divide phenomenon and various factors that infleunce an individual's place within it.
This work builds a foundation upon which future research into the role of Wikipedia's health and medical content in CHIB can be grounded. Using Longo's model, future research might provide insight into who Wikipedia is helping and who it has left behind. LIS scholars, practicing health librarians and perhaps health workers stand to gain a deeper understanding of the potential influence of Wikipedia’s health information on its consumers.
For LIS scholars, this paper is novel in the fact that a HIB model has not yet been applied to the study of Wikipedia’s health content. This paper provides a foundation for this research.2021-08-27T00:00:00Z