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Evaluation of a new, rapid, simple test for the detection of influenza virus

Overview of attention for article published in BMC Infectious Diseases, February 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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1 policy source
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1 X user
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1 Facebook page

Citations

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29 Dimensions

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53 Mendeley
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Title
Evaluation of a new, rapid, simple test for the detection of influenza virus
Published in
BMC Infectious Diseases, February 2015
DOI 10.1186/s12879-015-0775-5
Pubmed ID
Authors

Juan Carlos Hurtado, Maria Mar Mosquera, Elisa de Lazzari, Esteban Martínez, Nuria Torner, Ricard Isanta, Patricia de Molina, Tomás Pumarola, Maria Angeles Marcos, Jordi Vila Estape

Abstract

BackgroundInfluenza virus infections are responsible for significant morbidity and mortality in both pediatric and adult populations worldwide. Rapid and accurate diagnosis of influenza is necessary for appropriate patient management during the influenza season and for optimal utilization of anti-influenza therapy. We prospectively tested the accuracy of a simple and rapid diagnostic method.MethodsNinety-eight samples (nasal and pharyngeal swabs) from patients with upper respiratory tract infection symptoms who presented to primary healthcare centres in Barcelona (Spain) were prospectively analyzed. The samples were collected as part of influenza surveillance program. Samples that had enough volume to make the new test after aliquoting the amount needed to perform routine tests were included. None of the samples were pre-selected as a result of their status in relation to influenza virus. Samples were analyzed by in-house real-time PCR and Alere¿ i Influenza A & B (Alere¿ i), which uses isothermal amplification of nucleic acids for the qualitative detection of influenza A and B in nasal swabs transported in viral transport media. The two techniques were compared by positive percent agreement (PPA) and negative percent agreement (NPA). Statistical analysis was performed with Stata.ResultsOf the 98 samples analysed 90 were concordant; 46 (46.9%) were positive and 44 (44.9%) were negative. Five samples showed invalid results with the Alere¿ i test and could be not re-tested due to insufficient sample volume and were not included in the final statistical analysis. In the 93 remaining samples, the Alere¿ i test showed 97% of accuracy having correctly classified 90 samples. We obtained discordant results in 3 samples (3%). The PPA was 93.8% for influenza A and 94.1% for influenza B, and NPA was 100% for influenza A and influenza B virus. In addition, the Alere¿ i was very rapid (15 minutes or less) and extremely easy to use.ConclusionsThe Alere ¿ i test provided a good correlation compared to the real-time PCR test for the diagnosis of influenza. Since this method can be performed in minutes, it allows immediate, accurate clinical decisions to prescribe appropriate antiviral treatment or isolation of patients.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 28%
Other 10 19%
Student > Bachelor 6 11%
Student > Master 6 11%
Student > Ph. D. Student 6 11%
Other 6 11%
Unknown 4 8%
Readers by discipline Count As %
Medicine and Dentistry 22 42%
Biochemistry, Genetics and Molecular Biology 9 17%
Agricultural and Biological Sciences 5 9%
Immunology and Microbiology 3 6%
Nursing and Health Professions 2 4%
Other 4 8%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 November 2016.
All research outputs
#6,949,323
of 22,787,797 outputs
Outputs from BMC Infectious Diseases
#2,239
of 7,671 outputs
Outputs of similar age
#96,606
of 352,111 outputs
Outputs of similar age from BMC Infectious Diseases
#37
of 151 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,671 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 69% of its peers.
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 352,111 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.