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Molecularly-imprinted polymer sensors: realising their potential

Overview of attention for article published in Biosensors & Bioelectronics, July 2015
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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2 X users
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3 patents

Citations

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416 Dimensions

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410 Mendeley
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Title
Molecularly-imprinted polymer sensors: realising their potential
Published in
Biosensors & Bioelectronics, July 2015
DOI 10.1016/j.bios.2015.07.013
Pubmed ID
Authors

Lokman Uzun, Anthony P.F. Turner

Abstract

In parallel with recent developments in communications, nanotechnology and materials sciences, there has been extraordinary growth in the area of biosensors, with almost half of the total number of papers ever published (1962-2015) appearing in the last five-years (2010-2015). Molecular imprinting offers a route to the creation of specific and selective cavities in a 3D-polymeric network, which are complementary not only to the size and shape of a target species, but also provide interaction points and a coordination sphere around the template molecule. Given the challenges facing biosensor technologists, it is natural that this approach to create potentially highly stable synthetic ligands as an alternative to, or to compliment natural receptors, should emerge as a key line of interdisciplinary research. Despite the profuse amount of recent literature on molecularly-imprinted polymers (MIPs) and some limited commercial activity, these promising materials still need to overcome some limitations before taking their place in analytical market. In this review, we have focused on the most promising advances in MIP-based biosensors to illustrate how close to market they really are. We present our material under five main sections covering computational design, polymerisation strategies, material combinations, recent sensor designs and manufacturing issues. Each section provides technical details and evaluates the effect on sensor performance.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Spain 1 <1%
Poland 1 <1%
France 1 <1%
Switzerland 1 <1%
Unknown 406 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 96 23%
Researcher 60 15%
Student > Master 48 12%
Student > Bachelor 30 7%
Student > Doctoral Student 17 4%
Other 55 13%
Unknown 104 25%
Readers by discipline Count As %
Chemistry 120 29%
Engineering 33 8%
Biochemistry, Genetics and Molecular Biology 28 7%
Materials Science 25 6%
Agricultural and Biological Sciences 16 4%
Other 57 14%
Unknown 131 32%
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 13 February 2024.
All research outputs
#7,363,939
of 25,394,764 outputs
Outputs from Biosensors & Bioelectronics
#1,890
of 6,858 outputs
Outputs of similar age
#79,627
of 276,089 outputs
Outputs of similar age from Biosensors & Bioelectronics
#29
of 111 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 6,858 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 71% 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 276,089 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 70% of its contemporaries.
We're also able to compare this research output to 111 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 72% of its contemporaries.