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Primary Progressive Multiple Sclerosis: Putting Together the Puzzle

Overview of attention for article published in Frontiers in Neurology, May 2017
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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 (91st percentile)

Citations

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36 Dimensions

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182 Mendeley
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Title
Primary Progressive Multiple Sclerosis: Putting Together the Puzzle
Published in
Frontiers in Neurology, May 2017
DOI 10.3389/fneur.2017.00234
Pubmed ID
Authors

Ahmed Abdelhak, Martin S. Weber, Hayrettin Tumani

Abstract

The focus of multiple sclerosis research has recently turned to the relatively rare and clearly more challenging condition of primary progressive multiple sclerosis (PPMS). Many risk factors such as genetic susceptibility, age, and Epstein-Barr virus (EBV) infection may interdepend on various levels, causing a complex pathophysiological cascade. Variable pathological mechanisms drive disease progression, including inflammation-associated axonal loss, continuous activation of central nervous system resident cells, such as astrocytes and microglia as well as mitochondrial dysfunction and iron accumulation. Histological studies revealed diffuse infiltration of the gray and white matter as well as of the meninges with inflammatory cells such as B-, T-, natural killer, and plasma cells. While numerous anti-inflammatory agents effective in relapsing remitting multiple sclerosis basically failed in treatment of PPMS, the B-cell-depleting monoclonal antibody ocrelizumab recently broke the dogma that PPMS cannot be treated by an anti-inflammatory approach by demonstrating efficacy in a phase 3 PPMS trial. Other treatments aiming at enhancing remyelination (MD1003) as well as EBV-directed treatment strategies may be promising agents on the horizon. In this article, we aim to summarize new advances in the understanding of risk factors, pathophysiology, and treatment of PPMS. Moreover, we introduce a novel concept to understand the nature of the disease and possible treatment strategies in the near future.

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

Geographical breakdown

Country Count As %
Unknown 182 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 15%
Student > Bachelor 27 15%
Researcher 22 12%
Student > Ph. D. Student 21 12%
Student > Doctoral Student 9 5%
Other 25 14%
Unknown 50 27%
Readers by discipline Count As %
Medicine and Dentistry 35 19%
Neuroscience 26 14%
Biochemistry, Genetics and Molecular Biology 20 11%
Immunology and Microbiology 8 4%
Agricultural and Biological Sciences 7 4%
Other 26 14%
Unknown 60 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 24 October 2023.
All research outputs
#1,731,889
of 25,205,261 outputs
Outputs from Frontiers in Neurology
#652
of 14,306 outputs
Outputs of similar age
#32,705
of 322,343 outputs
Outputs of similar age from Frontiers in Neurology
#17
of 182 outputs
Altmetric has tracked 25,205,261 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 14,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. 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 322,343 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 182 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 91% of its contemporaries.