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Rapid Detection Strategies for the Global Threat of Zika Virus: Current State, New Hypotheses, and Limitations

Overview of attention for article published in Frontiers in Microbiology, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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5 X users
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2 patents

Citations

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34 Dimensions

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142 Mendeley
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Title
Rapid Detection Strategies for the Global Threat of Zika Virus: Current State, New Hypotheses, and Limitations
Published in
Frontiers in Microbiology, October 2016
DOI 10.3389/fmicb.2016.01685
Pubmed ID
Authors

Shruti Shukla, Sung-Yong Hong, Soo Hyun Chung, Myunghee Kim

Abstract

The current scenario regarding the widespread Zika virus (ZIKV) has resulted in numerous diagnostic studies, specifically in South America and in locations where there is frequent entry of travelers returning from ZIKV-affected areas, including pregnant women with or without clinical symptoms of ZIKV infection. The World Health Organization, WHO, announced that millions of cases of ZIKV are likely to occur in the USA in the near future. This situation has created an alarming public health emergency of international concern requiring the detection of this life-threatening viral candidate due to increased cases of newborn microcephaly associated with ZIKV infection. Hence, this review reports possible methods and strategies for the fast and reliable detection of ZIKV with particular emphasis on current updates, knowledge, and new hypotheses that might be helpful for medical professionals in poor and developing countries that urgently need to address this problem. In particular, we emphasize liposome-based biosensors. Although these biosensors are currently among the less popular tools for human disease detection, they have become useful tools for the screening and detection of pathogenic bacteria, fungi, and viruses because of their versatile advantageous features compared to other sensing devices. This review summarizes the currently available methods employed for the rapid detection of ZIKV and suggests an innovative approach involving the application of a liposome-based hypothesis for the development of new strategies for ZIKV detection and their use as effective biomedicinal tools.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 141 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 22%
Researcher 27 19%
Student > Bachelor 23 16%
Student > Ph. D. Student 14 10%
Student > Doctoral Student 11 8%
Other 18 13%
Unknown 18 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 23%
Agricultural and Biological Sciences 20 14%
Medicine and Dentistry 18 13%
Immunology and Microbiology 7 5%
Engineering 7 5%
Other 30 21%
Unknown 27 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 21 February 2019.
All research outputs
#5,626,248
of 22,896,955 outputs
Outputs from Frontiers in Microbiology
#5,251
of 24,942 outputs
Outputs of similar age
#85,351
of 313,854 outputs
Outputs of similar age from Frontiers in Microbiology
#133
of 422 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,942 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 78% 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 313,854 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 72% of its contemporaries.
We're also able to compare this research output to 422 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 68% of its contemporaries.