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Profiling humoral immune responses to P. falciparum infection with protein microarrays

Overview of attention for article published in PROTEOMICS, November 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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5 patents
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1 research highlight platform

Citations

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232 Dimensions

Readers on

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161 Mendeley
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1 CiteULike
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Title
Profiling humoral immune responses to P. falciparum infection with protein microarrays
Published in
PROTEOMICS, November 2008
DOI 10.1002/pmic.200800194
Pubmed ID
Authors

Denise L. Doolan, Yunxiang Mu, Berkay Unal, Suman Sundaresh, Siddiqua Hirst, Conrad Valdez, Arlo Randall, Douglas Molina, Xiaowu Liang, Daniel A. Freilich, J. Aggrey Oloo, Peter L. Blair, Joao C. Aguiar, Pierre Baldi, D. Huw Davies, Philip L. Felgner

Abstract

A complete description of the serological response following exposure of humans to complex pathogens is lacking and approaches suitable for accomplishing this are limited. Here we report, using malaria as a model, a method which elucidates the profile of antibodies that develop after natural or experimental infection or after vaccination with attenuated organisms, and which identifies immunoreactive antigens of interest for vaccine development or other applications. Expression vectors encoding 250 Plasmodium falciparum (Pf) proteins were generated by PCR/recombination cloning; the proteins were individually expressed with >90% efficiency in Escherichia coli cell-free in vitro transcription and translation reactions, and printed directly without purification onto microarray slides. The protein microarrays were probed with human sera from one of four groups which differed in immune status: sterile immunity or no immunity against experimental challenge following vaccination with radiation-attenuated Pf sporozoites, partial immunity acquired by natural exposure, and no previous exposure to Pf. Overall, 72 highly reactive Pf antigens were identified. Proteomic features associated with immunoreactivity were identified. Importantly, antibody profiles were distinct for each donor group. Information obtained from such analyses will facilitate identifying antigens for vaccine development, dissecting the molecular basis of immunity, monitoring the outcome of whole-organism vaccine trials, and identifying immune correlates of protection.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
United Kingdom 2 1%
United States 2 1%
Sweden 2 1%
Italy 1 <1%
Australia 1 <1%
Spain 1 <1%
France 1 <1%
Unknown 149 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 26%
Researcher 31 19%
Student > Master 23 14%
Lecturer 7 4%
Professor > Associate Professor 7 4%
Other 26 16%
Unknown 25 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 42%
Immunology and Microbiology 14 9%
Medicine and Dentistry 14 9%
Biochemistry, Genetics and Molecular Biology 13 8%
Engineering 5 3%
Other 19 12%
Unknown 29 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 July 2015.
All research outputs
#7,355,485
of 25,373,627 outputs
Outputs from PROTEOMICS
#1,146
of 4,058 outputs
Outputs of similar age
#32,957
of 104,452 outputs
Outputs of similar age from PROTEOMICS
#6
of 24 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,058 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 70% 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 104,452 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.