Altmetric measurements derived from the social web are increasingly advocated and used as early indicators of article impact and usefulness. Nevertheless, there is a lack of systematic scientific evidence that altmetrics are valid proxies of either impact or utility although a few case studies have reported medium correlations between specific altmetrics and citation rates for individual journals or fields. Finally, the coverage of all the altmetrics except for Twitter seems to be low and so it is not clear if they are prevalent enough to be useful in practice.
Welche Twitter-Nutzer haben die Macht, Informationen schnell und weitläufig zu verbreiten? Ein Forschungsprojekt am MIT geht dieser Frage mit Hilfe der Netzwerkanalyse auf den Grund.
Discover what people are really saying on Twitter. With Twitrratr you can distinguish negative from positive tweets surrounding a brand, product, person or topic
In this post I want to pull together a couple of ideas around some of the measurable user activity generated as part of CFHE12. This will mainly focus around Twitter with some data from blog posts. I conclude that there are some simple opportunities to incorporate data from twitter into other channels, for example, summary of questions and retweets.
E. Bakshy, J. Hofman, W. Mason, and D. Watts. Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, page 65--74. New York, NY, USA, ACM, (2011)
F. Benevenuto, G. Magno, T. Rodrigues, and V. Almeida. Proceedings of the Seventh Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference (CEAS), (July 2010)
F. Benevenuto, G. Magno, T. Rodrigues, and V. Almeida. Proceedings of the Seventh Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference (CEAS), (July 2010)
E. Ferrara, O. Varol, F. Menczer, and A. Flammini. Proceedings of the first ACM Conference on Online Social Networks, page 213--222. New York, NY, USA, ACM, (2013)