Altmetrics & visualizations for discovery
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The document discusses the history and purpose of bibliometrics and citation indexing. It describes Eugene Garfield's 1955 paper which introduced the Science Citation Index (SCI) to allow discovery of literature not linked thematically and increase researcher collaboration. Later works by Garfield et al expanded on relational bibliometrics and evaluative bibliometrics. Maps of information science, all of science, and educational technology are shown, with links to related projects. The highlights recommend sharing open library collections and repositories to improve discovery of institutional works and researchers through re-use of metadata and engagement with scholarly networks.
Altmetrics & visualizations for discovery
- 1. @PeterKraker Altmetrics & visualizations for discovery
- 2. Purpose of the Science Citation Index (SCI) Garfield (1955). Citation indexes for science: A new dimension in documentation through association of ideas. 1. Discovery of literature that is not linked thematically 2. Increased collaboration between researchers Relational bibliometrics
- 3. Garfield et al. (1964) License: Copyright Mapping the discovery of the DNA code
- 4. Purpose of the Science Citation Index (SCI) Garfield (1955). Citation indexes for science: A new dimension in documentation through association of ideas. 1. Discovery of literature that is not linked thematically 2. Increased collaboration between researchers 3. Evaluation of science Relational bibliometrics Evaluative bibliometrics
- 6. Map of information science Van Eck and Waltman (2010) License: Copyright
- 7. Mapping all of science Bollen et al. (2009)
- 11. Highlights from the recommendations Library collections and institutional repositories are rich sources for knowledge discovery. Share the library collection (metadata and/or fulltexts) under an open license to improve the re-use of these metadata and, along with it, increase discoverability of your institution's scholarly works and researchers. Engagement with scholarly works always results in networks that can be exploited for detecting related scholarly works, topics, and/or people.
- 12. @PeterKraker Thank you for your attention!