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A flow cytometry-based workflow for detection and quantification of anti-plasmodial antibodies in vaccinated and naturally exposed individuals

Overview of attention for article published in Malaria Journal, November 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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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1 X user
patent
3 patents

Citations

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5 Dimensions

Readers on

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54 Mendeley
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Title
A flow cytometry-based workflow for detection and quantification of anti-plasmodial antibodies in vaccinated and naturally exposed individuals
Published in
Malaria Journal, November 2012
DOI 10.1186/1475-2875-11-367
Pubmed ID
Authors

Anthony Ajua, Thomas Engleitner, Meral Esen, Michael Theisen, Saadou Issifou, Benjamin Mordmüller

Abstract

Antibodies play a central role in naturally acquired immunity against Plasmodium falciparum. Current assays to detect anti-plasmodial antibodies against native antigens within their cellular context are prone to bias and cannot be automated, although they provide important information about natural exposure and vaccine immunogenicity. A novel, cytometry-based workflow for quantitative detection of anti-plasmodial antibodies in human serum is presented.

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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 22%
Researcher 11 20%
Student > Master 10 19%
Student > Bachelor 7 13%
Other 3 6%
Other 5 9%
Unknown 6 11%
Readers by discipline Count As %
Medicine and Dentistry 17 31%
Agricultural and Biological Sciences 12 22%
Nursing and Health Professions 4 7%
Biochemistry, Genetics and Molecular Biology 3 6%
Engineering 3 6%
Other 7 13%
Unknown 8 15%
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 20 July 2022.
All research outputs
#3,404,857
of 24,778,793 outputs
Outputs from Malaria Journal
#752
of 5,805 outputs
Outputs of similar age
#23,122
of 188,182 outputs
Outputs of similar age from Malaria Journal
#9
of 73 outputs
Altmetric has tracked 24,778,793 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 5,805 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 86% 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 188,182 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 87% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.