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In this paper we review the so-called altmetrics or alternative metrics. This concept raises from the development of new indicators based on Web 2.0, for the evaluation of the research and academic activity. The basic assumption is that variables such as mentions in blogs, number of twits or of researchers bookmarking a research paper for instance, may be legitimate indicators for measuring the use and impact of scientific publications. In this sense, these indicators are currently the focus of the bibliometric community and are being discussed and debated. We describe the main platforms and indicators and we analyze as a sample the Spanish research output in Communication Studies. Comparing traditional indicators such as citations with these new indicators. The results show that the most cited papers are also the ones with a highest impact according to the altmetrics. We conclude pointing out the main short-comings these metrics present and the role they may play when measuring the research impact through 2.0 platforms. [ABSTRACT FROM AUTHOR]

In this research, we develop a case study, focused on Spain and the European Union, on the controversy over the labelling of transgenic foods. This paper fi rstly compares the social discourses that conceive labelling essentially as being a problem or a solution. Secondly, an analysis is provided of the main legislative responses, together with the specifi c issues that remain controversial in this fi eld. Thirdly, the limits of the cognitive defi cit model and the problem of establishing what information is relevant or irrelevant are discussed. The research concludes by showing the presence of the rhetorics of safety and risk, and proposes an outline of social positions around the consumption of transgenic foods, their differential labelling, and the endeavour of science in our societies. [ABSTRACT FROM AUTHOR]

Science, technology and innovation are fundamental to economic and social development of the country, requiring, each time more, to give significant resources in order to prepare the personnel and make them more competitive, where the information exchange, knowledge and learning generated by this process, will contribute to achieve a better performance in the organization. The purpose of this paper is the development of a organizational learning model and its phases, based on information and knowledge of scientific and innovation project team members, which will allow to evaluate the capacity of organizational learning and also contribute to a better organization performance. In this model is highlighted the integration of the main trends in the study of organizational learning, providing technical tools to develop learning ability and performance evaluation of the organization from indicators. [ABSTRACT FROM AUTHOR]