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The Impact of the Impact of Meta-Data Mining From the SoReCom “A.S. de Rosa” @-Library

The Impact of the Impact of Meta-Data Mining From the SoReCom “A.S. de Rosa” @-Library

Annamaria Silvana de Rosa, Laura Dryjanska, Elena Bocci
Copyright: © 2019 |Pages: 20
ISBN13: 9781522576594|ISBN10: 1522576592|EISBN13: 9781522576600
DOI: 10.4018/978-1-5225-7659-4.ch013
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MLA

Silvana de Rosa, Annamaria, et al. "The Impact of the Impact of Meta-Data Mining From the SoReCom “A.S. de Rosa” @-Library." Advanced Methodologies and Technologies in Library Science, Information Management, and Scholarly Inquiry, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2019, pp. 148-167. https://doi.org/10.4018/978-1-5225-7659-4.ch013

APA

Silvana de Rosa, A., Dryjanska, L., & Bocci, E. (2019). The Impact of the Impact of Meta-Data Mining From the SoReCom “A.S. de Rosa” @-Library. In M. Khosrow-Pour, D.B.A. (Ed.), Advanced Methodologies and Technologies in Library Science, Information Management, and Scholarly Inquiry (pp. 148-167). IGI Global. https://doi.org/10.4018/978-1-5225-7659-4.ch013

Chicago

Silvana de Rosa, Annamaria, Laura Dryjanska, and Elena Bocci. "The Impact of the Impact of Meta-Data Mining From the SoReCom “A.S. de Rosa” @-Library." In Advanced Methodologies and Technologies in Library Science, Information Management, and Scholarly Inquiry, edited by Mehdi Khosrow-Pour, D.B.A., 148-167. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7659-4.ch013

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Abstract

The objective of this chapter is to address the following question: What is the value of the scientific networking, training, and documentation activities in the new academic scenario dominated by the bibliometric assessment culture and by the impact of the technology to the science production and sharing (data-driven science, big data, open data, open access, etc.). In order to discuss the “impact of the impact” of the social representations theory in the bibliometric culture era, the authors present a selection of results on the dissemination of the theory across the continents based on data and meta-data concerning authors' countries and institutional affiliations, and publications related to the various bibliometric indexes (Impact Factor and SJR) as derived from the two largest bibliometric databases: ISI-Web of Science Thomson and Reuters and Scopus-Elsevier.

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