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Protein Microarrays: A New Tool for the Study of Autoantibodies in Immunodeficiency

Overview of attention for article published in Frontiers in immunology, April 2015
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
6 X users
facebook
2 Facebook pages

Citations

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28 Dimensions

Readers on

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82 Mendeley
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Title
Protein Microarrays: A New Tool for the Study of Autoantibodies in Immunodeficiency
Published in
Frontiers in immunology, April 2015
DOI 10.3389/fimmu.2015.00138
Pubmed ID
Authors

Jacob M. Rosenberg, Paul J. Utz

Abstract

Autoimmunity is highly coincident with immunodeficiency. In a small but growing number of primary immunodeficiencies, autoantibodies are diagnostic of a given disease and implicated in disease pathogenesis. In order to improve our understanding of the role of autoantibodies in immunodeficiencies and to discover novel autoantibodies, new proteomic tools are needed. Protein microarrays have the ability to screen for reactivity to hundreds to many thousands of unique autoantigens simultaneously on a single chip using minimal serum input. Here, we review different types of protein microarrays and how they can be useful in framing the study of primary and secondary immunodeficiencies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Belgium 1 1%
Unknown 80 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 22%
Student > Ph. D. Student 11 13%
Student > Doctoral Student 8 10%
Student > Master 7 9%
Student > Bachelor 4 5%
Other 10 12%
Unknown 24 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 18%
Biochemistry, Genetics and Molecular Biology 15 18%
Immunology and Microbiology 7 9%
Medicine and Dentistry 7 9%
Engineering 4 5%
Other 12 15%
Unknown 22 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 27 August 2021.
All research outputs
#3,060,447
of 25,373,627 outputs
Outputs from Frontiers in immunology
#3,200
of 31,516 outputs
Outputs of similar age
#38,129
of 279,994 outputs
Outputs of similar age from Frontiers in immunology
#18
of 149 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,516 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 89% 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 279,994 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 86% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.