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A “Candidate-Interactome” Aggregate Analysis of Genome-Wide Association Data in Multiple Sclerosis

Overview of attention for article published in PLOS ONE, May 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
patent
1 patent
facebook
2 Facebook pages

Citations

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33 Dimensions

Readers on

mendeley
146 Mendeley
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1 CiteULike
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Title
A “Candidate-Interactome” Aggregate Analysis of Genome-Wide Association Data in Multiple Sclerosis
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0063300
Pubmed ID
Authors

Rosella Mechelli, Renato Umeton, Claudia Policano, Viviana Annibali, Giulia Coarelli, Vito A. G. Ricigliano, Danila Vittori, Arianna Fornasiero, Maria Chiara Buscarinu, Silvia Romano, Marco Salvetti, Giovanni Ristori

Abstract

Though difficult, the study of gene-environment interactions in multifactorial diseases is crucial for interpreting the relevance of non-heritable factors and prevents from overlooking genetic associations with small but measurable effects. We propose a "candidate interactome" (i.e. a group of genes whose products are known to physically interact with environmental factors that may be relevant for disease pathogenesis) analysis of genome-wide association data in multiple sclerosis. We looked for statistical enrichment of associations among interactomes that, at the current state of knowledge, may be representative of gene-environment interactions of potential, uncertain or unlikely relevance for multiple sclerosis pathogenesis: Epstein-Barr virus, human immunodeficiency virus, hepatitis B virus, hepatitis C virus, cytomegalovirus, HHV8-Kaposi sarcoma, H1N1-influenza, JC virus, human innate immunity interactome for type I interferon, autoimmune regulator, vitamin D receptor, aryl hydrocarbon receptor and a panel of proteins targeted by 70 innate immune-modulating viral open reading frames from 30 viral species. Interactomes were either obtained from the literature or were manually curated. The P values of all single nucleotide polymorphism mapping to a given interactome were obtained from the last genome-wide association study of the International Multiple Sclerosis Genetics Consortium & the Wellcome Trust Case Control Consortium, 2. The interaction between genotype and Epstein Barr virus emerges as relevant for multiple sclerosis etiology. However, in line with recent data on the coexistence of common and unique strategies used by viruses to perturb the human molecular system, also other viruses have a similar potential, though probably less relevant in epidemiological terms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
United States 2 1%
Korea, Republic of 1 <1%
Austria 1 <1%
Canada 1 <1%
Finland 1 <1%
Japan 1 <1%
Luxembourg 1 <1%
Unknown 136 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 19%
Student > Ph. D. Student 16 11%
Professor 16 11%
Student > Master 12 8%
Other 10 7%
Other 29 20%
Unknown 35 24%
Readers by discipline Count As %
Medicine and Dentistry 31 21%
Agricultural and Biological Sciences 22 15%
Biochemistry, Genetics and Molecular Biology 16 11%
Neuroscience 10 7%
Nursing and Health Professions 4 3%
Other 18 12%
Unknown 45 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 20 October 2016.
All research outputs
#2,355,809
of 22,711,242 outputs
Outputs from PLOS ONE
#30,061
of 193,913 outputs
Outputs of similar age
#21,157
of 195,184 outputs
Outputs of similar age from PLOS ONE
#755
of 4,999 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,913 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 done well, scoring higher than 84% 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 195,184 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 89% of its contemporaries.
We're also able to compare this research output to 4,999 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.