The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Scientific communication can be represented as a continuum with the research article, addressed to specialized researchers, at one end of the spectrum, and with the popularization article, addressed to lay readers, at the other. In between there exists a distinct genre, the semi-popularization article, which has not received much attention in the English literature. As a contribution to the field, this paper describes the vocabulary of a corpus of 700 agriculture semi-popularization articles in English. The analysis was carried out in two stages that combined quantitative and qualitative methodology: a lexical description of the corpus and the analysis of high-frequency words. The lexical analysis revealed high lexical variation in the corpus and narrow word range. Academic words provided a lower coverage (6%) than that usually reported for research articles (10-12%), and a higher coverage than that reported for newspapers (4%). The analysis of high-frequency words showed that many of these words, including general and academic words, were closely associated with the discipline of agriculture, and therefore represented the technical vocabulary of the texts. (C) 2015 Elsevier Ltd. All rights reserved.
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