Das, Anup-Kumar . Open Access Research Impacts., 2015 In: Introduction to Open Access [Open Access for Library Schools, 1]. UNESCO, Paris, ISBN 9789231000744, pp. 55-81. [Book chapter]
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English abstract
In an open access (OA) world, much importance has been given to using open source tools, open access resources and open solutions to engage authors and researchers in collaborative research, peer-to-peer sharing of scholarly information and collaborative evaluation of scholars’ works. On the other hand, exponential growth of scientific literature also has led to rapid disappearance of nascent literature before it actually gets noticed by the scientific communities. No single database can capture this over-growing scientific literature. Several data mining tools are probably required to keep abreast with quantum of emerging literature. In this Unit, various tools and techniques have been discussed in details to help the library and information professionals in strengthening their efforts in enhancing scientific productivity, visibility, reputation, and impact of research works of their affiliated scientific researchers. This Unit briefly discusses various conventional citation-based indicators available for assessing scientific productivity of authors, journals and institutions. This Unit also identifies emerging indicators such as h-index, i10-index, Eigenfactor score, article influence score and source normalized impact per paper. The social webs, available to the researchers’ communities in addition to any other groups of citizens, help the researchers in disseminating their produced or contributed knowledge to global communities. Much you are active in social media, more you have chances to get noticed by fellow researchers and possible research collaborators. Many personalized web-based services are now increasingly made available targeting global researchers' communities, helping them to enhance their social media presence and visibility. These factors influence the development of new metrics called article level metrics or altmetrics. Finally, this Unit also briefly discusses the emergence of the open citation databases for text mining and data mining of open access literature.
Item type: | Book chapter |
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Keywords: | h-index, i10-index, Eigenfactor score, article influence score, Altmetrics, Webometrics, Article Level Metrics, Author Level Metrics, Citation Metrics |
Subjects: | B. Information use and sociology of information > BB. Bibliometric methods B. Information use and sociology of information > BG. Information dissemination and diffusion. E. Publishing and legal issues. > EB. Printing, electronic publishing, broadcasting. H. Information sources, supports, channels. > HN. e-journals. H. Information sources, supports, channels. > HS. Repositories. |
Depositing user: | Dr Anup Kumar Das |
Date deposited: | 10 Apr 2015 15:40 |
Last modified: | 10 Apr 2015 15:40 |
URI: | http://hdl.handle.net/10760/24906 |
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