↓ Skip to main content

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, January 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
42 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A flow cytometry-based workflow for detection and quantification of anti-plasmodial antibodies in vaccinated and naturally exposed individuals
Published in
Malaria Journal, January 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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 29%
Student > Ph. D. Student 10 24%
Student > Master 7 17%
Student > Bachelor 5 12%
Other 3 7%
Other 3 7%
Unknown 2 5%
Readers by discipline Count As %
Medicine and Dentistry 14 33%
Agricultural and Biological Sciences 12 29%
Biochemistry, Genetics and Molecular Biology 3 7%
Nursing and Health Professions 2 5%
Immunology and Microbiology 2 5%
Other 6 14%
Unknown 3 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 November 2012.
All research outputs
#10,021,900
of 12,524,647 outputs
Outputs from Malaria Journal
#3,160
of 3,658 outputs
Outputs of similar age
#100,257
of 142,339 outputs
Outputs of similar age from Malaria Journal
#9
of 13 outputs
Altmetric has tracked 12,524,647 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,658 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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 142,339 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.