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Development of nanoparticle-based optical sensors for pathogenic bacterial detection

Overview of attention for article published in Journal of Nanobiotechnology, March 2017
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Title
Development of nanoparticle-based optical sensors for pathogenic bacterial detection
Published in
Journal of Nanobiotechnology, March 2017
DOI 10.1186/s12951-017-0260-y
Pubmed ID
Authors

Teodora Mocan, Cristian T. Matea, Teodora Pop, Ofelia Mosteanu, Anca Dana Buzoianu, Cosmin Puia, Cornel Iancu, Lucian Mocan

Abstract

Pathogenic bacteria contribute to various globally important diseases, killing millions of people each year. Various fields of medicine currently benefit from or may potentially benefit from the use of nanotechnology applications, in which there is growing interest. Disease-related biomarkers can be rapidly and directly detected by nanostructures, such as nanowires, nanotubes, nanoparticles, cantilevers, microarrays, and nanoarrays, as part of an accurate process characterized by lower sample consumption and considerably higher sensitivity. There is a need for accurate techniques for pathogenic bacteria identification and detection to allow the prevention and management of pathogenic diseases and to assure food safety. The focus of this review is on the current nanoparticle-based techniques for pathogenic bacterial identification and detection using these applications.

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

Geographical breakdown

Country Count As %
France 1 <1%
Unknown 252 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 19%
Researcher 38 15%
Student > Master 32 13%
Student > Bachelor 26 10%
Student > Doctoral Student 12 5%
Other 29 11%
Unknown 68 27%
Readers by discipline Count As %
Chemistry 39 15%
Agricultural and Biological Sciences 26 10%
Biochemistry, Genetics and Molecular Biology 23 9%
Engineering 18 7%
Medicine and Dentistry 11 4%
Other 52 21%
Unknown 84 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 April 2017.
All research outputs
#18,540,642
of 22,962,258 outputs
Outputs from Journal of Nanobiotechnology
#908
of 1,429 outputs
Outputs of similar age
#235,341
of 309,402 outputs
Outputs of similar age from Journal of Nanobiotechnology
#9
of 14 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,429 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 13th percentile – i.e., 13% 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 309,402 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.