↓ Skip to main content

Molecular evolution in court: analysis of a large hepatitis C virus outbreak from an evolving source

Overview of attention for article published in BMC Biology, July 2013
Altmetric Badge

Mentioned by

news
8 news outlets
blogs
4 blogs
twitter
46 X users
patent
1 patent
facebook
2 Facebook pages
googleplus
1 Google+ user
f1000
1 research highlight platform

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
141 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Molecular evolution in court: analysis of a large hepatitis C virus outbreak from an evolving source
Published in
BMC Biology, July 2013
DOI 10.1186/1741-7007-11-76
Pubmed ID
Authors

Fernando González-Candelas, María Alma Bracho, Borys Wróbel, Andrés Moya

Abstract

Molecular phylogenetic analyses are used increasingly in the epidemiological investigation of outbreaks and transmission cases involving rapidly evolving RNA viruses. Here, we present the results of such an analysis that contributed to the conviction of an anesthetist as being responsible for the infection of 275 of his patients with hepatitis C virus.

X Demographics

X Demographics

The data shown below were collected from the profiles of 46 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Spain 3 2%
Brazil 2 1%
United Kingdom 2 1%
Sweden 2 1%
India 1 <1%
Chile 1 <1%
Netherlands 1 <1%
Malaysia 1 <1%
Other 0 0%
Unknown 123 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 21%
Researcher 27 19%
Student > Master 16 11%
Student > Bachelor 14 10%
Professor 13 9%
Other 23 16%
Unknown 18 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 41%
Biochemistry, Genetics and Molecular Biology 24 17%
Medicine and Dentistry 17 12%
Computer Science 3 2%
Environmental Science 3 2%
Other 13 9%
Unknown 23 16%