Wenceslao Arroyo Machado is PhD student in Information and Communication Technologies, supported by a FPU predoctoral fellowship at the Department of Information and Communication of the University of Granada (UGR). He holds a degree in Information and Documentation and a master’s degree in Data Science and Computer Engineering (UGR). He has worked as a researcher in the project Knowmetrics - evaluation of knowledge in the digital society funded by the BBVA Foundation and as technical support staff in Medialab UGR. His works focus on scientometrics and other areas derived related to the new paradigm of altmetrics and data science.
Degree in Information and Documentation, 2017
University of Granada
Master's Degree in Data Science and Computer Engineering, 2018
University of Granada
Altmetric project funded by scientific research team grants from the Ministry of Science and Innovation of Spain.
The project combining theoretical propositions with applied developments via the ‘Knowmetrics’ web platform, which constitutes the nucleus of the project and its communication plan.
This study provides an overview of science from the Wikipedia perspective. A methodology has been established for the analysis of how Wikipedia editors regard science through their references to scientific papers. The method of co-citation has been adapted to this context in order to generate Pathfinder networks (PFNET) that highlight the most relevant scientific journals and categories, and their interactions in order to find out how scientific literature is consumed through this open encyclopaedia. In addition to this, their obsolescence has been studied through Price index. A total of 1 433 457 references available at Altmetric.com have been initially taken into account. After pre-processing and linking them to the data from Elsevier’s CiteScore Metrics the sample was reduced to 847 512 references made by 193 802 Wikipedia articles to 598 746 scientific articles belonging to 14 149 journals indexed in Scopus. As highlighted results we found a significative presence of “Medicine” and “Biochemistry, Genetics and Molecular Biology” papers and that the most important journals are multidisciplinary in nature, suggesting also that high-impact factor journals were more likely to be cited. Furthermore, only 13.44% of Wikipedia citations are to Open Access journals.
This paper aims to map and identify topics of interest within the field of Microbiology and identify the main sources driving such attention. We combine data from Web of Science and Altmetric.com, a platform which retrieves mentions to scientific literature from social media and other non-academic communication outlets. We focus on the dissemination of microbial publications in Twitter, news media and policy briefs. A two-mode network of social accounts shows distinctive areas of activity. We identify a cluster of papers mentioned solely by regional news media. A central area of the network is formed by papers discussed by the three outlets. A large portion of the network is driven by Twitter activity. When analyzing top actors contributing to such network, we observe that more than half of the Twitter accounts are bots, mentioning 32% of the documents in our dataset. Within news media outlets, there is a predominance of popular science outlets. With regard to policy briefs, both international and national bodies are represented. Finally, our topic analysis shows that the thematic focus of papers mentioned varies by outlet. While news media cover the wider range of topics, policy briefs are focused on translational medicine and bacterial outbreaks.