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Non-Synonymous Polymorphisms in the FCN1 Gene Determine Ligand-Binding Ability and Serum Levels of M-Ficolin

Overview of attention for article published in PLOS ONE, November 2012
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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1 Facebook page
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4 Wikipedia pages

Citations

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29 Dimensions

Readers on

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36 Mendeley
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Title
Non-Synonymous Polymorphisms in the FCN1 Gene Determine Ligand-Binding Ability and Serum Levels of M-Ficolin
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050585
Pubmed ID
Authors

Christian Gytz Ammitzbøll, Troels Rønn Kjær, Rudi Steffensen, Kristian Stengaard-Pedersen, Hans Jørgen Nielsen, Steffen Thiel, Martin Bøgsted, Jens Christian Jensenius

Abstract

The innate immune system encompasses various recognition molecules able to sense both exogenous and endogenous danger signals arising from pathogens or damaged host cells. One such pattern-recognition molecule is M-ficolin, which is capable of activating the complement system through the lectin pathway. The lectin pathway is multifaceted with activities spanning from complement activation to coagulation, autoimmunity, ischemia-reperfusion injury and embryogenesis. Our aim was to explore associations between SNPs in FCN1, encoding M-ficolin and corresponding protein concentrations, and the impact of non-synonymous SNPs on protein function.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Researcher 6 17%
Student > Postgraduate 5 14%
Student > Master 4 11%
Student > Bachelor 3 8%
Other 4 11%
Unknown 6 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 31%
Biochemistry, Genetics and Molecular Biology 6 17%
Medicine and Dentistry 5 14%
Immunology and Microbiology 2 6%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 10 28%
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 14 May 2021.
All research outputs
#7,176,494
of 22,687,320 outputs
Outputs from PLOS ONE
#84,854
of 193,653 outputs
Outputs of similar age
#78,234
of 277,211 outputs
Outputs of similar age from PLOS ONE
#1,692
of 4,740 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 193,653 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 54% 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 277,211 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 70% of its contemporaries.
We're also able to compare this research output to 4,740 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 62% of its contemporaries.