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Ultrathin and smooth poly(methyl methacrylate) (PMMA) films for label-free biomolecule detection with total internal reflection ellipsometry (TIRE)

Overview of attention for article published in Biosensors & Bioelectronics, June 2012
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
1 tweeter
patent
2 patents

Citations

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15 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Ultrathin and smooth poly(methyl methacrylate) (PMMA) films for label-free biomolecule detection with total internal reflection ellipsometry (TIRE)
Published in
Biosensors & Bioelectronics, June 2012
DOI 10.1016/j.bios.2012.04.032
Pubmed ID
Authors

Nam Cao Hoai Le, Vladimir Gubala, Eoin Clancy, Thomas Barry, Terry J Smith, David E. Williams

Abstract

Ultrathin poly(methyl methacrylate) PMMA films were prepared on gold substrates by spin coating PMMA dissolved in toluene. By varying the concentration of PMMA, spin coating speed and curing condition, we obtained very smooth and ultrathin PMMA films. The PMMA films were transformed into highly reactive film containing carboxylic functionalities using UV/O(3) irradiation. These films were shown to remain stable and reactive for at least one week. We then demonstrated the application of the UV/O(3) treated PMMA films for the detection of microRNAs using a label-free detection method called total internal reflection ellipsometry (TIRE). A limit of detection of 10 pM was established. The technique proposed here is a simple and quick method for generating carboxylic functional films for label-free bioanalytical detection techniques.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 41%
Researcher 6 19%
Student > Master 5 16%
Unspecified 2 6%
Professor > Associate Professor 2 6%
Other 4 13%
Readers by discipline Count As %
Engineering 10 31%
Materials Science 5 16%
Chemistry 4 13%
Physics and Astronomy 4 13%
Agricultural and Biological Sciences 3 9%
Other 6 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 03 December 2015.
All research outputs
#2,017,750
of 12,238,957 outputs
Outputs from Biosensors & Bioelectronics
#308
of 4,306 outputs
Outputs of similar age
#18,312
of 115,198 outputs
Outputs of similar age from Biosensors & Bioelectronics
#3
of 47 outputs
Altmetric has tracked 12,238,957 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,306 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 92% 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 115,198 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 83% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.