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Early MRI predictors of prognosis in multiple sclerosis

Overview of attention for article published in Journal of Neurology, November 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

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12 Dimensions

Readers on

mendeley
27 Mendeley
Title
Early MRI predictors of prognosis in multiple sclerosis
Published in
Journal of Neurology, November 2019
DOI 10.1007/s00415-019-09589-2
Pubmed ID
Authors

Nikunj Davda, Emma Tallantyre, Neil P. Robertson

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 19%
Student > Ph. D. Student 5 19%
Researcher 5 19%
Student > Master 3 11%
Student > Doctoral Student 2 7%
Other 4 15%
Unknown 3 11%
Readers by discipline Count As %
Medicine and Dentistry 13 48%
Neuroscience 7 26%
Energy 1 4%
Chemistry 1 4%
Engineering 1 4%
Other 0 0%
Unknown 4 15%
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 27 June 2020.
All research outputs
#14,462,441
of 23,172,045 outputs
Outputs from Journal of Neurology
#3,054
of 4,547 outputs
Outputs of similar age
#201,701
of 365,941 outputs
Outputs of similar age from Journal of Neurology
#55
of 92 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,547 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 30th percentile – i.e., 30% 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 365,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.