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Drug-use patterns and severe adverse events with disease-modifying drugs in patients with multiple sclerosis: a cohort study based on German claims data

Overview of attention for article published in Neuropsychiatric Disease and Treatment, May 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
45 Mendeley
Title
Drug-use patterns and severe adverse events with disease-modifying drugs in patients with multiple sclerosis: a cohort study based on German claims data
Published in
Neuropsychiatric Disease and Treatment, May 2019
DOI 10.2147/ndt.s200930
Pubmed ID
Authors

Alexandra Simbrich, Jasmine Thibaut, Laura Khil, Klaus Berger, Oliver Riedel, Niklas Schmedt

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

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 6 13%
Student > Master 6 13%
Researcher 5 11%
Student > Bachelor 4 9%
Student > Ph. D. Student 2 4%
Other 4 9%
Unknown 18 40%
Readers by discipline Count As %
Medicine and Dentistry 8 18%
Neuroscience 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Business, Management and Accounting 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 5 11%
Unknown 20 44%
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 28 May 2019.
All research outputs
#16,728,456
of 25,385,509 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,719
of 3,131 outputs
Outputs of similar age
#220,621
of 363,254 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#31
of 76 outputs
Altmetric has tracked 25,385,509 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 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 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 363,254 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 76 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.