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Genetic analysis of multiple sclerosis

Overview of attention for article published in Current Neurology and Neuroscience Reports, June 2002
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Title
Genetic analysis of multiple sclerosis
Published in
Current Neurology and Neuroscience Reports, June 2002
DOI 10.1007/s11910-002-0085-3
Pubmed ID
Authors

Alastair Compston, Stephen Sawcer

Abstract

The increased recurrence risk within families indicates a role for genetic factors in the etiology of multiple sclerosis. Genes may influence susceptibility to the development of multiple sclerosis and the subsequent course of the disease. To date, associations have only been demonstrated consistently with class II major histocompatibility complex (MHC) alleles. The relatively low yield from additional candidate gene studies is only modestly advanced by several whole-genome linkage analyses, and by the first in a series of planned whole-genome linkage disequilibrium screens for allelic associations. The aims of linkage and association are to narrow the search for chromosomal regions encoding genes for multiple sclerosis and, with information from the human gene project, suggest new positional candidates. In time, it is expected that these genes will include some that confer susceptibility to the general process of autoimmunity, others that are specific for multiple sclerosis in all populations, some that act only in defined ethic groups, and those that determine particular phenotypes or shape the clinical course. These genetic analyses are predicated on the assumption that multiple sclerosis is one disease; a major part of future studies will be to resolve the question of disease heterogeneity in multiple sclerosis. When eventually in place, the potential of this genetic knowledge for improved understanding of the pathogenesis of multiple sclerosis and designing novel treatments is considerable.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Bachelor 1 14%
Researcher 1 14%
Student > Master 1 14%
Unknown 2 29%
Readers by discipline Count As %
Nursing and Health Professions 1 14%
Agricultural and Biological Sciences 1 14%
Neuroscience 1 14%
Medicine and Dentistry 1 14%
Unknown 3 43%
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 11 January 2016.
All research outputs
#15,353,264
of 22,837,982 outputs
Outputs from Current Neurology and Neuroscience Reports
#683
of 914 outputs
Outputs of similar age
#114,493
of 120,181 outputs
Outputs of similar age from Current Neurology and Neuroscience Reports
#2
of 2 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 914 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 19th percentile – i.e., 19% 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 120,181 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.
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