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Vaccines, emerging viruses, and how to avoid disaster

Overview of attention for article published in BMC Biology, November 2014
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Title
Vaccines, emerging viruses, and how to avoid disaster
Published in
BMC Biology, November 2014
DOI 10.1186/s12915-014-0100-6
Pubmed ID
Authors

Rino Rappuoli

Abstract

Rino Rappuoli is a graduate of Siena University, where he also earned his PhD before moving to the Sclavo Research Center, the Italian vaccine institute, also in Siena. He then spent two years in the USA, mostly at Harvard with John Murphy and Alwin Pappenheimer working on a new diphtheria vaccine based on a non-toxic mutant of diphtheria toxin which has since become the basis for conjugate vaccines against haemophilus, meningococcus, and pneumococcal infections, before returning to the Sclavo Research Center where he developed an acellular vaccine based on a mutant pertussis toxin. With many achievements in vaccine development to his credit, he is now Global Head of Vaccines Research and Development for Novartis Vaccines in Siena, and has most recently pioneered reverse vaccinology, in which the genome of the pathogen is screened for candidate antigenic and immunogenic vaccine components. We spoke to him about the potential for outbreaks of the kind we are now seeing with Ebolavirus in West Africa, and what can be done to prevent them.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Other 5 14%
Researcher 5 14%
Librarian 3 8%
Student > Postgraduate 3 8%
Other 10 27%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 22%
Medicine and Dentistry 5 14%
Biochemistry, Genetics and Molecular Biology 4 11%
Immunology and Microbiology 3 8%
Nursing and Health Professions 3 8%
Other 5 14%
Unknown 9 24%