JuvoLab Announces Results of Study Analyzing Entire Global Oncology Community's Twitter Usage at ASCO 2010

Friday, July 16, 2010 Corporate News J E 4
NEW YORK, July 15 JuvoLab, a company focused on value creation in the life sciences industry, today announced the release of a unique study detailing the entire global oncology community's utilization of Twitter to enhance scientific discussion at the ASCO 2010 Annual Meeting. This pioneering study analyzed over 4450 tweets, generated by more than 680 users over the course of the conference, and provides clarity and insight into the use of Twitter from breaking clinical news and engaging in clinical discussion to compliant corporate promotion by industry leaders. Users analyzed include medical oncologists, comprehensive cancer centers, research institutions, academic associations, leading pharmaceutical and biotechnology companies, non-profit organizations, medical communications agencies, journals, journalists, and patients and their advocates.

The study demonstrates:

This 49-page report is essential reading for all of the following:

To order this report, Oncology Community Twitter Dialogue: ASCO 2010--Key Insights in Compliant Healthcare Social Media Practice, please contact Aafia Chaudhry, MD.


Telephone +1 646 213 8173

-- True extent of Twitter popularity among the ASCO 2010 constituent attendees -- Functional role, demographics, and size of following for high-volume users who generated >75% of the total #ASCO10 content -- Origin and contextual composition of tweets as clinical news, clinical discussion, promotional tweets, or other -- Physicians as the highest generators of clinical discussion tweets and their aggregate views on key clinical management topics -- Nature of discussions surrounding investigational or prescription drug products -- over 150 drugs or drug-drug combinations analyzed -- Best practices in compliant pharmaceutical/biotechnology industry promotion via Twitter -- Best practices in compliant academic association or institutional promotion via Twitter -- Complexities and limitations in analyzing social media outputs



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