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Detection of dengue, west Nile virus, rickettsiosis and leptospirosis by a new real-time PCR strategy

Overview of attention for article published in SpringerPlus, May 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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1 X user
patent
1 patent

Citations

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9 Dimensions

Readers on

mendeley
55 Mendeley
Title
Detection of dengue, west Nile virus, rickettsiosis and leptospirosis by a new real-time PCR strategy
Published in
SpringerPlus, May 2016
DOI 10.1186/s40064-016-2318-y
Pubmed ID
Authors

Daniel García-Ruíz, Marco A. Martínez-Guzmán, Albertina Cárdenas-Vargas, Erika Marino-Marmolejo, Abel Gutiérrez-Ortega, Esteban González-Díaz, Rayo Morfin-Otero, Eduardo Rodríguez-Noriega, Hector Pérez-Gómez, Darwin Elizondo-Quiroga

Abstract

Dengue virus (DENV) infection causes sudden fever along with several nonspecific signs and symptoms and in severe cases, death. DENV is transmitted to people by Aedes aegypti and Ae. albopictus mosquitoes, whose populations increase during rainy season. West Nile Virus (WNV), Rickettsia spp. and Leptospira spp. are fever-causing pathogens that share many of the initial symptoms of DENV infection and also thrive in the rainy season. Outbreaks in some regions may be due to any of these pathogens that can co-circulate. Plus, they are clinically indistinguishable until severe symptoms appear, even though these diseases should be treated differently. An effective differential diagnosis would help clinicians and vector control departments to make right decisions for control and treatment of these diseases. Therefore, we developed four different SYBR green (®) -based reverse transcription quantitative PCR (RT-qPCR) assays for simultaneous detection of DENV, WNV, Rickettsia spp. and Leptospira spp. The assay has been optimized to yield results in less than 1 h; and in order to reduce contamination risk, all reagents were premixed and lyophilized on 96 well plates and thus only requires the addition of water and total nucleic acids from the sample. Sensitivities of the assays were less than 100 copies of nucleic acid targeted for these four pathogens. Assays did not show cross reactivity with any of the four pathogens nor to human nucleic acids. We are presenting a sensitive and selective kit that detects four relevant pathogens from tropical regions, that is quick, cost-effective and easy to use.

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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 24%
Researcher 7 13%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Librarian 3 5%
Other 11 20%
Unknown 12 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 18%
Immunology and Microbiology 10 18%
Agricultural and Biological Sciences 10 18%
Medicine and Dentistry 6 11%
Veterinary Science and Veterinary Medicine 5 9%
Other 2 4%
Unknown 12 22%
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 22 August 2019.
All research outputs
#6,906,848
of 24,115,737 outputs
Outputs from SpringerPlus
#411
of 1,858 outputs
Outputs of similar age
#105,050
of 338,811 outputs
Outputs of similar age from SpringerPlus
#39
of 199 outputs
Altmetric has tracked 24,115,737 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,858 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 76% 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 338,811 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 67% of its contemporaries.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.