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Recent Advances and Future Challenges in the Genetics of Multiple Sclerosis

Overview of attention for article published in Frontiers in Neurology, July 2014
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Title
Recent Advances and Future Challenges in the Genetics of Multiple Sclerosis
Published in
Frontiers in Neurology, July 2014
DOI 10.3389/fneur.2014.00130
Pubmed ID
Authors

Christina M. Lill

Abstract

Multiple sclerosis (MS) is the most common auto-inflammatory disease of the central nervous system, affecting more than 2 million individuals worldwide. It is a genetically complex disease, in which a substantial part of a person's liability to develop MS is caused by a combination of multiple genetic and non-genetic (e.g., environmental) risk factors. Increasing this complexity, many of the involved risk factors likely interact in an intricate and hitherto ill-defined fashion. Despite these complexities, and owing greatly to the advent and application of large-scale genome-wide association studies, our understanding of the genetic factors underlying MS etiology has begun to gain unprecedented momentum. In this perspective, I will summarize some recent advances and outline future challenges in MS genetics research.

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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Portugal 1 1%
Germany 1 1%
United Kingdom 1 1%
Mexico 1 1%
United States 1 1%
Unknown 86 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 18%
Researcher 14 15%
Student > Master 14 15%
Student > Bachelor 11 12%
Student > Doctoral Student 8 9%
Other 16 17%
Unknown 13 14%
Readers by discipline Count As %
Medicine and Dentistry 25 27%
Agricultural and Biological Sciences 21 23%
Biochemistry, Genetics and Molecular Biology 12 13%
Neuroscience 6 6%
Psychology 5 5%
Other 9 10%
Unknown 15 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 August 2014.
All research outputs
#17,723,043
of 22,758,248 outputs
Outputs from Frontiers in Neurology
#7,003
of 11,665 outputs
Outputs of similar age
#153,846
of 226,895 outputs
Outputs of similar age from Frontiers in Neurology
#31
of 66 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,665 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 226,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.