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The aim of this communication is to show our innovative experience developing an open access course by Twitter, called MicroMOOC on Open Access. Social networks provide us with the opportunity to innovate our literacy programmes and stakeholder engagement, by developing crash courses on relevant topics. In this case, the main focus of the course was raising awareness on basic ideas and concepts relating to open access. Developing the course via Twitter, allows us to explain things in an easy-to-understand language and provide an overview of good practices, initiatives, standards and tools for publishing, disseminating and archiving the data and publications generated in research work.The course was coordinated by the Universitat Oberta de Catalunya (UOC), with the support of 10 Catalan Universities on the creation of content, and the support of CSUC, LIBER, EUA and Sparc Europe on disseminating the course. It was run in micro-MOOC format, on Twitter for five days, in the framework of the International Open Access Week. Teaching from 12 a.m. every day for 15 minutes, via @moocmicro (http://twitter.com/moocmicro) under the hashtag #OAMOOC (https://twitter.com/search?q=OAMOOC&src=typd). This was an open initiative, useful for researchers, PhD and Master students, and anyone else with an interest in this area. The content of the course is open and available and the university libraries can use it for their training programmes. Twitter statistics show the success of this innovative programme and the impact obtained within the user community.
| 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 |
| views | 3 | |
| downloads | 3 |

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