Title |
Comparison of Shedding Characteristics of Seasonal Influenza Virus (Sub)Types and Influenza A(H1N1)pdm09; Germany, 2007–2011
|
---|---|
Published in |
PLOS ONE, December 2012
|
DOI | 10.1371/journal.pone.0051653 |
Pubmed ID | |
Authors |
Thorsten Suess, Cornelius Remschmidt, Susanne B. Schink, Brunhilde Schweiger, Alla Heider, Jeanette Milde, Andreas Nitsche, Kati Schroeder, Joerg Doellinger, Christian Braun, Walter Haas, Gérard Krause, Udo Buchholz |
Abstract |
Influenza viral shedding studies provide fundamental information for preventive strategies and modelling exercises. We conducted a prospective household study to investigate viral shedding in seasonal and pandemic influenza between 2007 and 2011 in Berlin and Munich, Germany. |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 25% |
Germany | 1 | 4% |
Japan | 1 | 4% |
Thailand | 1 | 4% |
Norway | 1 | 4% |
Unknown | 14 | 58% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 20 | 83% |
Science communicators (journalists, bloggers, editors) | 3 | 13% |
Scientists | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 2% |
United States | 2 | 2% |
Vietnam | 2 | 2% |
Unknown | 111 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 30 | 26% |
Student > Ph. D. Student | 15 | 13% |
Other | 12 | 10% |
Student > Bachelor | 12 | 10% |
Student > Master | 7 | 6% |
Other | 19 | 16% |
Unknown | 22 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 29 | 25% |
Agricultural and Biological Sciences | 18 | 15% |
Biochemistry, Genetics and Molecular Biology | 7 | 6% |
Immunology and Microbiology | 5 | 4% |
Social Sciences | 5 | 4% |
Other | 23 | 20% |
Unknown | 30 | 26% |