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Point of sampling detection of Zika virus within a multiplexed kit capable of detecting dengue and chikungunya

Overview of attention for article published in BMC Infectious Diseases, April 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
patent
1 patent

Citations

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132 Dimensions

Readers on

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188 Mendeley
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Title
Point of sampling detection of Zika virus within a multiplexed kit capable of detecting dengue and chikungunya
Published in
BMC Infectious Diseases, April 2017
DOI 10.1186/s12879-017-2382-0
Pubmed ID
Authors

Ozlem Yaren, Barry W. Alto, Priyanka V. Gangodkar, Shatakshi R. Ranade, Kunal N. Patil, Kevin M. Bradley, Zunyi Yang, Nikhil Phadke, Steven A. Benner

Abstract

Zika, dengue, and chikungunya are three mosquito-borne viruses having overlapping transmission vectors. They cause diseases having similar symptoms in human patients, but requiring different immediate management steps. Therefore, rapid (< one hour) discrimination of these three viruses in patient samples and trapped mosquitoes is needed. The need for speed precludes any assay that requires complex up-front sample preparation, such as extraction of nucleic acids from the sample. Also precluded in robust point-of-sampling assays is downstream release of the amplicon mixture, as this risks contamination of future samples that will give false positives. Procedures are reported that directly test urine and plasma (for patient diagnostics) or crushed mosquito carcasses (for environmental surveillance). Carcasses are captured on paper samples carrying quaternary ammonium groups (Q-paper), which may be directly introduced into the assay. To avoid the time and instrumentation requirements of PCR, the procedure uses loop-mediated isothermal amplification (LAMP). Downstream detection is done in sealed tubes, with dTTP-dUTP mixtures in the LAMP with a thermolabile uracil DNA glycosylase (UDG); this offers a second mechanism to prevent forward contamination. Reverse transcription LAMP (RT-LAMP) reagents are distributed dry without requiring a continuous chain of refrigeration. The tests detect viral RNA in unprocessed urine and other biological samples, distinguishing Zika, chikungunya, and dengue in urine and in mosquitoes infected with live Zika and chikungunya viruses. The limits of detection (LODs) are ~0.71 pfu equivalent viral RNAs for Zika, ~1.22 pfu equivalent viral RNAs for dengue, and ~38 copies of chikungunya viral RNA. A handheld, battery-powered device with an orange filter was constructed to visualize the output. Preliminary data showed that this architecture, working with pre-prepared tubes holding lyophilized reagent/enzyme mixtures and shipped without a chain of refrigeration, also worked with human plasma samples to detect chikungunya and dengue in Pune, India. A kit, complete with a visualization device, is now available for point-of-sampling detection of Zika, chikungunya, and dengue. The assay output is read in ca. 30 min by visualizing (human eye) three-color coded fluorescence signals. Assay in dried format allows it to be run in low-resource environments.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 187 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 29 15%
Researcher 24 13%
Student > Ph. D. Student 22 12%
Student > Master 17 9%
Other 15 8%
Other 28 15%
Unknown 53 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 19%
Agricultural and Biological Sciences 21 11%
Medicine and Dentistry 20 11%
Chemistry 8 4%
Immunology and Microbiology 7 4%
Other 36 19%
Unknown 60 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 20 July 2023.
All research outputs
#2,574,687
of 24,122,534 outputs
Outputs from BMC Infectious Diseases
#781
of 8,076 outputs
Outputs of similar age
#47,908
of 313,897 outputs
Outputs of similar age from BMC Infectious Diseases
#26
of 175 outputs
Altmetric has tracked 24,122,534 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,076 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 90% 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 313,897 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.