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Surface plasmon resonance biosensor for the detection of VEGFR-1—a protein marker of myelodysplastic syndromes

Overview of attention for article published in Analytical & Bioanalytical Chemistry, September 2011
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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1 X user
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2 patents

Citations

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53 Dimensions

Readers on

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36 Mendeley
Title
Surface plasmon resonance biosensor for the detection of VEGFR-1—a protein marker of myelodysplastic syndromes
Published in
Analytical & Bioanalytical Chemistry, September 2011
DOI 10.1007/s00216-011-5395-3
Pubmed ID
Authors

Kristýna Pimková, Markéta Bocková, Kateřina Hegnerová, Jiří Suttnar, Jaroslav Čermák, Jiří Homola, Jan E. Dyr

Abstract

The surface plasmon resonance (SPR) biosensor system with dispersionless microfluidics for the direct and label-free detection of a soluble vascular endothelial growth factor receptor (sVEGFR-1) is described. The detection approach takes advantage of an affinity interaction between sVEGFR-1 and its ligand, vascular endothelial growth factor (VEGF-A), which is covalently immobilized on the surface of the SPR sensor. The ability of the immobilized VEGF-A to specifically bind the sVEGFR-1 receptor is demonstrated in a buffer. The detection of sVEGFR-1 in 2% human blood plasma is carried out by using the sequential injection approach. The detection limit of 25 ng/mL is achieved. In addition, we demonstrate that the functional surface of the sensor can be regenerated for repeated 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 2 6%
United States 1 3%
Germany 1 3%
Unknown 32 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Student > Master 8 22%
Researcher 8 22%
Student > Bachelor 2 6%
Professor 1 3%
Other 1 3%
Unknown 6 17%
Readers by discipline Count As %
Chemistry 6 17%
Biochemistry, Genetics and Molecular Biology 4 11%
Materials Science 3 8%
Agricultural and Biological Sciences 3 8%
Physics and Astronomy 2 6%
Other 9 25%
Unknown 9 25%
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 21 July 2016.
All research outputs
#8,406,430
of 25,728,855 outputs
Outputs from Analytical & Bioanalytical Chemistry
#2,013
of 9,730 outputs
Outputs of similar age
#47,892
of 142,161 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#26
of 71 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 9,730 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 77% 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 142,161 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 65% of its contemporaries.
We're also able to compare this research output to 71 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 63% of its contemporaries.