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Chemiluminescent immunoassay technology: what does it change in autoantibody detection?

Overview of attention for article published in Autoimmunity Highlights, June 2017
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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 (88th percentile)

Mentioned by

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1 news outlet
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5 X users
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3 Wikipedia pages

Citations

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175 Dimensions

Readers on

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562 Mendeley
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Title
Chemiluminescent immunoassay technology: what does it change in autoantibody detection?
Published in
Autoimmunity Highlights, June 2017
DOI 10.1007/s13317-017-0097-2
Pubmed ID
Authors

Luigi Cinquanta, Desré Ethel Fontana, Nicola Bizzaro

Abstract

Diagnostic technology is rapidly evolving, and over the last decade, substantial progress has been made even for the identification of antibodies, increasingly approaching this type of diagnostic to that of automated clinical chemistry laboratory. In this review, we describe the analytical and diagnostic characteristics of chemiluminescence technology in its strength and in its applicability for a more rapid and accurate diagnosis of autoimmune diseases. The wide dynamic range, greater than that of immunoenzymatic methods, the high sensitivity and specificity of the results expressed in quantitative form, the high degree of automation and the clinical implications related to the reduction in the turnaround time, and the ability to run a large number of antibody tests (even of different isotypes), directed towards large antigenic panels in random access mode, make this technology the most advanced in the clinical laboratory, with enormous repercussions on the workflow and on the autoimmunology laboratory organisation. Further improvements are expected in the coming years with the development of new analytical platforms such as the flow-injection chemiluminescent immunoassay, the two-dimensional resolution for chemiluminescence multiplex immunoassay and the magnetic nanoparticles chemiluminescence immunoassay, which will likely result in additional increases in the clinical efficacy of antibody tests.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 562 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 562 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 95 17%
Student > Master 63 11%
Researcher 35 6%
Student > Ph. D. Student 34 6%
Student > Doctoral Student 27 5%
Other 69 12%
Unknown 239 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 82 15%
Medicine and Dentistry 54 10%
Agricultural and Biological Sciences 33 6%
Chemistry 28 5%
Engineering 19 3%
Other 81 14%
Unknown 265 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 January 2024.
All research outputs
#2,094,931
of 25,595,500 outputs
Outputs from Autoimmunity Highlights
#6
of 88 outputs
Outputs of similar age
#39,348
of 329,547 outputs
Outputs of similar age from Autoimmunity Highlights
#1
of 1 outputs
Altmetric has tracked 25,595,500 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 88 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 94% 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 329,547 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 88% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them