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Development of a microarray-based method for allergen-specific IgE and IgG4 detection

Overview of attention for article published in Clinical Proteomics, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 288)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 news outlet
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1 patent

Citations

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20 Dimensions

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21 Mendeley
Title
Development of a microarray-based method for allergen-specific IgE and IgG4 detection
Published in
Clinical Proteomics, January 2017
DOI 10.1186/s12014-016-9136-7
Pubmed ID
Authors

Guzel Feyzkhanova, Sergei Voloshin, Olga Smoldovskaya, Alla Arefieva, Marina Filippova, Viktor Barsky, Ludmila Pavlushkina, Veronika Butvilovskaya, Alexei Tikhonov, Yuri Reznikov, Alla Rubina

Abstract

sIgE and sIgG4 detection is necessary for more accurate and effective type I hypersensitivity diagnostics and the estimation of disease development. Typically, the analyses of these antibodies are performed separately with the help of various specialized systems. The aim of this study was to develop a microarray-based method for the simultaneous quantitative detection of sIgE and sIgG4 to the most common allergens in a single sample. A quantitative method for the simultaneous detection of sIgE and sIgG4 was developed based on the technology of hydrogel microchips previously designed at Engelhardt Institute of Molecular Biology, Russian Academy of Sciences (EIMB RAS). The microarray contained gel pads with immobilized allergens and gel pads that allow for the obtaining of sIgE and sIgG4 internal calibration curves for each allergen during the assay. The possibility of the simultaneous detection of sIgE and sIgG4 was developed using the corresponding Cy5 and Cy3 fluorescent dyes. The multiplex immunoassay method using hydrogel microarrays developed in this study allowed the quantitative detection of sIgE and sIgG4 to 31 allergens from different groups in a single assay. A comparison of the microarray with the existing plate-based analogues (i.e., ALLERG-O-LIQ and sIgG4 ELISA) was performed by analysing 152 blood serum samples and by evaluating Pearson correlation coefficients, ROC analysis, and Passing-Bablok linear regression results. The implementation of this method in allergy diagnostics will provide the possibility of simultaneously performing primary patient screening and obtaining additional information concerning the severity of the allergies and the choice of an appropriate therapy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 52%
Student > Bachelor 2 10%
Researcher 2 10%
Student > Doctoral Student 2 10%
Unknown 4 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 24%
Biochemistry, Genetics and Molecular Biology 4 19%
Immunology and Microbiology 2 10%
Business, Management and Accounting 1 5%
Chemical Engineering 1 5%
Other 3 14%
Unknown 5 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 10 March 2022.
All research outputs
#3,023,053
of 23,305,591 outputs
Outputs from Clinical Proteomics
#32
of 288 outputs
Outputs of similar age
#63,013
of 423,358 outputs
Outputs of similar age from Clinical Proteomics
#2
of 8 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 88% 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 423,358 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 84% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.