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Multi-database study of multiple sclerosis: identification, validation and description of MS patients in two countries

Overview of attention for article published in Journal of Neurology, February 2019
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
6 Mendeley
Title
Multi-database study of multiple sclerosis: identification, validation and description of MS patients in two countries
Published in
Journal of Neurology, February 2019
DOI 10.1007/s00415-019-09238-8
Pubmed ID
Authors

Rebecca Persson, Sally Lee, Marianne Ulcickas Yood, Michael Wagner, Neil Minton, Steve Niemcryk, Anders Lindholm, Amber Evans, Susan Jick

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 50%
Student > Master 1 17%
Student > Doctoral Student 1 17%
Unspecified 1 17%
Readers by discipline Count As %
Unspecified 2 33%
Economics, Econometrics and Finance 1 17%
Agricultural and Biological Sciences 1 17%
Neuroscience 1 17%
Medicine and Dentistry 1 17%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 February 2019.
All research outputs
#10,354,911
of 12,980,533 outputs
Outputs from Journal of Neurology
#1,893
of 2,467 outputs
Outputs of similar age
#182,719
of 248,502 outputs
Outputs of similar age from Journal of Neurology
#34
of 49 outputs
Altmetric has tracked 12,980,533 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,467 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 12th percentile – i.e., 12% 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 248,502 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.