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Dove Medical Press

The use of natalizumab for multiple sclerosis

Overview of attention for article published in Neuropsychiatric Disease and Treatment, June 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
3 X users
facebook
2 Facebook pages

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
195 Mendeley
Title
The use of natalizumab for multiple sclerosis
Published in
Neuropsychiatric Disease and Treatment, June 2017
DOI 10.2147/ndt.s114636
Pubmed ID
Authors

Rachel Brandstadter, Ilana Katz Sand

Abstract

Natalizumab is a monoclonal antibody that acts as an α4 integrin antagonist to prevent leukocyte trafficking into the central nervous system. It is US Food and Drug Administration (FDA) approved for the treatment of relapsing-remitting multiple sclerosis (RRMS). Natalizumab demonstrated high efficacy in Phase III trials by reducing the annualized relapse rate, preventing multiple sclerosis (MS) lesion accumulation on magnetic resonance imaging, and decreasing the probability of sustained progression of disability. The leading safety concern with natalizumab is its association with progressive multifocal leukoencephalopathy (PML), a rare brain infection typically seen only in severely immunocompromised patients caused by reactivation of the John Cunningham virus (JCV). Careful analysis of risk factors for PML in natalizumab-treated MS patients, specifi-cally the presence of anti-JCV antibodies, has led to risk mitigation strategies to improve safety. Additional biomarkers are under investigation to further aid risk stratification. Natalizumab's high efficacy and favorable tolerability profile have led to a broad use by MS physicians, as both first-and second-line treatments. This review discusses the natalizumab efficacy, safety, and tolerability and finishes with pragmatic considerations regarding its use in clinical practice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 195 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 35 18%
Student > Master 21 11%
Student > Ph. D. Student 19 10%
Researcher 13 7%
Student > Postgraduate 11 6%
Other 30 15%
Unknown 66 34%
Readers by discipline Count As %
Medicine and Dentistry 36 18%
Neuroscience 19 10%
Biochemistry, Genetics and Molecular Biology 18 9%
Pharmacology, Toxicology and Pharmaceutical Science 17 9%
Immunology and Microbiology 10 5%
Other 22 11%
Unknown 73 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 30 August 2023.
All research outputs
#908,958
of 25,382,440 outputs
Outputs from Neuropsychiatric Disease and Treatment
#115
of 3,131 outputs
Outputs of similar age
#18,574
of 330,503 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#6
of 85 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 96% 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 330,503 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 94% of its contemporaries.
We're also able to compare this research output to 85 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 92% of its contemporaries.