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Quantitative Susceptibility Mapping in Multiple Sclerosis

Overview of attention for article published in Radiology, January 2013
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Mentioned by

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3 X users

Citations

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224 Dimensions

Readers on

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201 Mendeley
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Title
Quantitative Susceptibility Mapping in Multiple Sclerosis
Published in
Radiology, January 2013
DOI 10.1148/radiol.12120707
Pubmed ID
Authors

Christian Langkammer, Tian Liu, Michael Khalil, Christian Enzinger, Margit Jehna, Siegrid Fuchs, Franz Fazekas, Yi Wang, Stefan Ropele

Abstract

To apply quantitative susceptibility mapping (QSM) in the basal ganglia of patients with multiple sclerosis (MS) and relate the findings to R2* mapping with regard to the sensitivity for clinical and morphologic measures of disease severity.

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

Geographical breakdown

Country Count As %
United States 3 1%
Austria 2 <1%
Germany 2 <1%
Netherlands 1 <1%
Sweden 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Russia 1 <1%
Other 0 0%
Unknown 188 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 24%
Student > Ph. D. Student 42 21%
Student > Master 15 7%
Student > Bachelor 13 6%
Professor > Associate Professor 12 6%
Other 34 17%
Unknown 36 18%
Readers by discipline Count As %
Medicine and Dentistry 58 29%
Physics and Astronomy 22 11%
Neuroscience 21 10%
Engineering 20 10%
Agricultural and Biological Sciences 9 4%
Other 22 11%
Unknown 49 24%
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 30 May 2014.
All research outputs
#16,048,318
of 25,374,917 outputs
Outputs from Radiology
#8,541
of 10,266 outputs
Outputs of similar age
#180,832
of 290,094 outputs
Outputs of similar age from Radiology
#66
of 113 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,266 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one is in the 15th percentile – i.e., 15% 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 290,094 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.