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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users
patent
1 patent
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1 Facebook page

Readers on

mendeley
68 Mendeley
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Article details
Title
Common and Low Frequency Variants in MERTK Are Independently Associated with Multiple Sclerosis Susceptibility with Discordant Association Dependent upon HLA-DRB1*15:01 Status
Published in
PLoS Genetics, March 2016
DOI 10.1371/journal.pgen.1005853
Pubmed ID
Authors
Abstract

Multiple Sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system. The risk of developing MS is strongly influenced by genetic predisposition, and over 100 loci have been established as associated with susceptibility. However, the biologically relevant variants underlying disease risk have not been defined for the vast majority of these loci, limiting the power of these genetic studies to define new avenues of research for the development of MS therapeutics. It is therefore crucial that candidate MS susceptibility loci are carefully investigated to identify the biological mechanism linking genetic polymorphism at a given gene to the increased chance of developing MS. MERTK has been established as an MS susceptibility gene and is part of a family of receptor tyrosine kinases known to be involved in the pathogenesis of demyelinating disease. In this study we have refined the association of MERTK with MS risk to independent signals from both common and low frequency variants. One of the associated variants was also found to be linked with increased expression of MERTK in monocytes and higher expression of MERTK was associated with either increased or decreased risk of developing MS, dependent upon HLA-DRB1*15:01 status. This discordant association potentially extended beyond MS susceptibility to alterations in disease course in established MS. This study provides clear evidence that distinct polymorphisms within MERTK are associated with MS susceptibility, one of which has the potential to alter MERTK transcription, which in turn can alter both susceptibility and disease course in MS patients.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 68 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 %
Canada 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 14 21%
Researcher 10 15%
Student > Master 9 13%
Student > Ph. D. Student 7 10%
Other 5 7%
Other 8 12%
Unknown 15 22%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 15 22%
Biochemistry, Genetics and Molecular Biology 10 15%
Medicine and Dentistry 10 15%
Neuroscience 5 7%
Immunology and Microbiology 4 6%
Other 7 10%
Unknown 17 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 13 February 2024.
All research outputs
#7,274,645
of 34,575,175 outputs
Outputs from PLoS Genetics
#4,116
of 9,889 outputs
Outputs of similar age
#82,262
of 340,648 outputs
Outputs of similar age from PLoS Genetics
#88
of 176 outputs
Altmetric has tracked 34,575,175 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,889 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has gotten more attention than average, scoring higher than 58% 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 340,648 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 75% of its contemporaries.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.