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Advances in understanding gray matter pathology in multiple sclerosis: Are we ready to redefine disease pathogenesis?

Overview of attention for article published in BMC Neurology, March 2012
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Title
Advances in understanding gray matter pathology in multiple sclerosis: Are we ready to redefine disease pathogenesis?
Published in
BMC Neurology, March 2012
DOI 10.1186/1471-2377-12-9
Pubmed ID
Authors

Robert Zivadinov, Istvan Pirko

Abstract

The purpose of this special issue in BMC Neurology is to summarize advances in our understanding of the pathological, immunological, imaging and clinical concepts of gray matter (GM) pathology in patients with multiple sclerosis (MS). Review articles by Lucchinetti and Popescu, Walker and colleagues, Hulst and colleagues and Horakova and colleagues summarize important recent advances in understanding GM damage and its implications to MS pathogenesis. They also raise a number of important new questions and outline comprehensive approaches to addressing those questions in years to come. In the last decade, the use of immunohistochemistry staining methods and more advanced imaging techniques to detect GM lesions, like double inversion recovery, contributed to a surge of studies related to cortical and subcortical GM pathology in MS. It is becoming more apparent from recent biopsy studies that subpial cortical lesions in early MS are highly inflammatory. The mechanisms responsible for triggering meningeal inflammation in MS patients are not yet elucidated, and they should be further investigated in relation to their role in initiating and perpetuating the disease process. Determining the role of antigens, environmental and genetic factors in the pathogenesis of GM involvement in MS is critical. The early involvement of cortical and subcortical GM damage in MS is very intriguing and needs to be further studied. As established in numerous cross-sectional and longitudinal studies, GM damage is a better predictor of physical disability and cognitive impairment than WM damage. Monitoring the evolution of GM damage is becoming an important marker in predicting future disease course and response to therapy in MS patients.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Spain 2 3%
United Kingdom 1 1%
Germany 1 1%
Russia 1 1%
Mexico 1 1%
Unknown 62 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 27%
Student > Ph. D. Student 12 17%
Student > Master 11 16%
Other 8 11%
Professor > Associate Professor 4 6%
Other 10 14%
Unknown 6 9%
Readers by discipline Count As %
Medicine and Dentistry 24 34%
Agricultural and Biological Sciences 11 16%
Neuroscience 10 14%
Psychology 4 6%
Engineering 3 4%
Other 6 9%
Unknown 12 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 July 2012.
All research outputs
#14,725,323
of 22,663,969 outputs
Outputs from BMC Neurology
#1,346
of 2,413 outputs
Outputs of similar age
#97,096
of 156,114 outputs
Outputs of similar age from BMC Neurology
#9
of 16 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 39th percentile – i.e., 39% 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 156,114 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.