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September through October 2010 multi-centre study in the Netherlands examining laboratory ability to detect enterovirus 68, an emerging respiratory pathogen

Overview of attention for article published in Journal of Virological Methods, March 2013
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Title
September through October 2010 multi-centre study in the Netherlands examining laboratory ability to detect enterovirus 68, an emerging respiratory pathogen
Published in
Journal of Virological Methods, March 2013
DOI 10.1016/j.jviromet.2013.02.010
Pubmed ID
Authors

Giovanna Jaramillo-Gutierrez, Kimberley S.M. Benschop, Eric C.J. Claas, Arjan S. de Jong, Anton M. van Loon, Suzan D. Pas, Oscar Pontesilli, John W. Rossen, Caroline M.A. Swanink, Steven Thijsen, Adri G.M. van der Zanden, Harrie G.A.M. van der Avoort, Marion P.G. Koopmans, Adam Meijer

Abstract

During September and October 2010, the Dutch Public Health Institute detected an enterovirus (EV) 68 (EV68) epidemic in the Netherlands through general practitioner-based surveillance of acute respiratory infections. EV68 shares phenotypic and genotypic properties with human rhinovirus (HRV). Despite increased EV and HRV detections, Dutch clinical laboratories did not identify EV68. To assess the capability of Dutch clinical laboratories to detect EV68, ten laboratories with more than eight detected EV and HRV cases in September and October 2010 provided information about their detection algorithms and testing results for a 2010 Dutch EV68 strain. For EV detection mostly stool specimens (median 49%), respiratory specimens (median 27%) and cerebrospinal fluid (median 22%) were used. For HRV detection only respiratory specimens were used. Except for the Seeplex® RV15ACE EV-specific assay, all EV and 73% of HRV assays, including those of the Public Health Institute, were able to detect EV68. Two-step EV RT-PCR protocols were the most sensitive. Thus, laboratories might have misidentified EV68 as HRV. In addition, EV68 cases might have also been missed because patients with respiratory diseases are usually not tested for EV infection. Therefore, clinical laboratories should include EV detection in the differential diagnosis of patients presenting with respiratory symptoms.

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The data shown below were collected from the profiles of 2 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Researcher 5 18%
Student > Bachelor 3 11%
Other 2 7%
Student > Doctoral Student 1 4%
Other 4 14%
Unknown 6 21%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Agricultural and Biological Sciences 6 21%
Immunology and Microbiology 4 14%
Biochemistry, Genetics and Molecular Biology 2 7%
Unspecified 1 4%
Other 3 11%
Unknown 6 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2014.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from Journal of Virological Methods
#2,467
of 3,282 outputs
Outputs of similar age
#128,247
of 206,318 outputs
Outputs of similar age from Journal of Virological Methods
#19
of 29 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,282 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 206,318 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.