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Development of a New Tacaribe Arenavirus Infection Model and Its Use to Explore Antiviral Activity of a Novel Aristeromycin Analog

Overview of attention for article published in PLOS ONE, September 2010
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Title
Development of a New Tacaribe Arenavirus Infection Model and Its Use to Explore Antiviral Activity of a Novel Aristeromycin Analog
Published in
PLOS ONE, September 2010
DOI 10.1371/journal.pone.0012760
Pubmed ID
Authors

Brian B. Gowen, Min-Hui Wong, Deanna Larson, Wei Ye, Kie-Hoon Jung, Eric J. Sefing, Ramona Skirpstunas, Donald F. Smee, John D. Morrey, Stewart W. Schneller

Abstract

A growing number of arenaviruses can cause a devastating viral hemorrhagic fever (VHF) syndrome. They pose a public health threat as emerging viruses and because of their potential use as bioterror agents. All of the highly pathogenic New World arenaviruses (NWA) phylogenetically segregate into clade B and require maximum biosafety containment facilities for their study. Tacaribe virus (TCRV) is a nonpathogenic member of clade B that is closely related to the VHF arenaviruses at the amino acid level. Despite this relatedness, TCRV lacks the ability to antagonize the host interferon (IFN) response, which likely contributes to its inability to cause disease in animals other than newborn mice.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Japan 1 2%
Brazil 1 2%
Unknown 44 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 9 19%
Student > Master 6 13%
Professor > Associate Professor 5 10%
Student > Doctoral Student 3 6%
Other 6 13%
Unknown 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 23%
Medicine and Dentistry 5 10%
Biochemistry, Genetics and Molecular Biology 3 6%
Immunology and Microbiology 3 6%
Business, Management and Accounting 2 4%
Other 10 21%
Unknown 14 29%