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Endogenous retroviruses and multiple sclerosis–new pieces to the puzzle

Overview of attention for article published in BMC Neurology, August 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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
8 X users
facebook
3 Facebook pages

Citations

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24 Dimensions

Readers on

mendeley
80 Mendeley
citeulike
1 CiteULike
Title
Endogenous retroviruses and multiple sclerosis–new pieces to the puzzle
Published in
BMC Neurology, August 2013
DOI 10.1186/1471-2377-13-111
Pubmed ID
Authors

Kari K Nissen, Magdalena J Laska, Bettina Hansen, Thorkild Terkelsen, Palle Villesen, Shervin Bahrami, Thor Petersen, Finn S Pedersen, Bjørn A Nexø

Abstract

The possibility that retroviruses play a role in multiple sclerosis (MS) has long been considered; accumulating findings suggest this to be most likely in the form of human endogenous retroviruses (HERVs). A genetic test series of fifty endogenous retroviral loci for association with MS in Danes showed SNP markers near a specific endogenous retroviral locus, HERV-Fc1 located on the X-chromosome, to be positive. Bout Onset MS was associated with the HERV-Fc1 locus, while a rarer form, Primary Progressive MS, was not. Moreover, HERV-Fc1 Gag RNA in plasma was increased 4-fold in patients with recent history of attacks, relative to patients in a stable state and to healthy controls.Finally, genetic variations in restriction genes for retroviruses influence the risk of MS, providing further support for a role of retroviral elements in disease.We speculate that endogenous retroviruses may activate the innate immune system in a variety of ways, involving the host proteins, TRIMs, TLRs, TREXs and STING. Observations in HIV-positive patients suggest that antiretroviral drugs can curb MS. Thus, these new findings regarding the etiology and pathogenesis of MS, suggest alternative ways to challenge autoimmune diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Brazil 1 1%
United Kingdom 1 1%
Iran, Islamic Republic of 1 1%
Denmark 1 1%
Spain 1 1%
Unknown 74 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Student > Bachelor 14 18%
Researcher 11 14%
Student > Master 9 11%
Other 4 5%
Other 14 18%
Unknown 10 13%
Readers by discipline Count As %
Medicine and Dentistry 22 28%
Agricultural and Biological Sciences 16 20%
Biochemistry, Genetics and Molecular Biology 10 13%
Immunology and Microbiology 7 9%
Neuroscience 6 8%
Other 6 8%
Unknown 13 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 31 March 2020.
All research outputs
#1,717,007
of 25,436,226 outputs
Outputs from BMC Neurology
#130
of 2,702 outputs
Outputs of similar age
#14,717
of 212,315 outputs
Outputs of similar age from BMC Neurology
#3
of 58 outputs
Altmetric has tracked 25,436,226 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,702 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 95% 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 212,315 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.