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Analysis of the Relationship Between Mannose‐Binding Lectin (MBL) Genotype, MBL Levels and Function in an Australian Blood Donor Population

Overview of attention for article published in Scandinavian Journal of Immunology, December 2002
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

patent
3 patents

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48 Mendeley
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Article details
Title
Analysis of the Relationship Between Mannose‐Binding Lectin (MBL) Genotype, MBL Levels and Function in an Australian Blood Donor Population
Published in
Scandinavian Journal of Immunology, December 2002
DOI 10.1046/j.1365-3083.2002.01167.x
Pubmed ID
Authors
Abstract

The mannose-binding lectin (MBL) pathway of complement activation is an important component of innate host defence. Numerous studies have described associations between the MBL genotype, MBL levels and disease susceptibility. However, genotyping and quantitative assays used in these studies have frequently been limited, and comprehensive data examining the interaction between structural and coding MBL genetic variants, MBL antigenic levels and MBL functional activity are lacking. Such data may be important for accurate planning and interpretation of studies of MBL and disease. This study has examined MBL in a cohort of 236 Australian blood donors. Five MBL promoter and coding single nucleotide polymorphisms were genotyped using polymerase chain reaction-sequence-specific priming (PCR-SSP). Plasma levels of MBL antigen were quantified using a double-antibody enzyme-linked immunosorbent assay (ELISA), and functional MBL levels were quantified using a mannan-binding assay. Activation of the complement pathway by MBL was measured in a C4-deposition assay. Significant associations were found between both coding and promoter polymorphisms and MBL antigenic and functional levels. There was significant correlation between the results of MBL double-antibody, mannan-binding and C4-deposition assays. Comprehensive MBL genotyping and functional MBL quantitation using mannan-binding and C4-deposition assays have the potential to be highly informative in MBL disease association studies.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
Austria 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Student > Master 6 13%
Researcher 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Other 9 19%
Unknown 12 25%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 18 38%
Agricultural and Biological Sciences 10 21%
Biochemistry, Genetics and Molecular Biology 4 8%
Immunology and Microbiology 3 6%
Engineering 1 2%
Other 0 0%
Unknown 12 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 January 2024.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from Scandinavian Journal of Immunology
#197
of 1,866 outputs
Outputs of similar age
#15,525
of 136,054 outputs
Outputs of similar age from Scandinavian Journal of Immunology
#4
of 12 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,866 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 78% 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 136,054 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 82% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.