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We thus take as a starting hypothesis that the social influence of scientific research can be objectively quantified and measured using public social and digital platforms (altmetrics) and that, in addition, it has different facets and meaning depending on the characteristics of the platforms where it is disseminated and the type of public who accesses the information. Consequently, the aim of the project is to create and validate a multidimensional model (Twitter, Policy Mentions, News Mentions and Wikipedia) to measure the social influence of Spanish researchers, which will be materialised with the creation of the open web platform: "influscience" and four sector analyses that scale from Spanish institutions to European countries. All of this is in line with the strategies of Spanish science and the European Union. Therefore, the methodology is established in three major phases. The starting point is the collection of bibliographic data from Scopus and Web of Science databases and from altimetric aggregator Altmetric.com to create a database that unifies publications and their social mentions. Based on these data, the publications located within the 5th percentile with the greatest social attention will be detected and from there the most influential scientists will be standardised and identified, all of this both by area of knowledge and by social media, also taking into account multidisciplinarity. Finally, a compilation of complementary information will be carried out for sectorial studies, being especially relevant the analysis of Twitter accounts and the collection of scientific production and metrics from different European countries for the elaboration of a comparative analysis.
Altmetrics, Bibliometric Indicators, Social Impact
Altmetrics, Bibliometric Indicators, Social Impact
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 7 |

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