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Quantitative MRI analysis in children with multiple sclerosis: a multicenter feasibility pilot study

Overview of attention for article published in BMC Neurology, November 2013
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1 tweeter

Citations

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Title
Quantitative MRI analysis in children with multiple sclerosis: a multicenter feasibility pilot study
Published in
BMC Neurology, November 2013
DOI 10.1186/1471-2377-13-173
Pubmed ID
Authors

Tanuja Chitnis, Charles R Guttmann, Alexander Zaitsev, Alexander Musallam, Bianca Weinstock-Guttman, Ann Yeh, Moses Rodriguez, Jayne Ness, Mark P Gorman, Brian C Healy, Nancy Kuntz, Dorothee Chabas, Jonathan B Strober, Emmanuelle Waubant, Lauren Krupp, Daniel Pelletier, Bradley Erickson, Niels Bergsland, Robert Zivadinov

Abstract

Pediatric multiple sclerosis (MS) is a rare disorder with significant consequences. Quantitative MRI measurements may provide significant insights, however multicenter collaborative studies are needed given the small numbers of subjects. The goal of this study is to demonstrate feasibility and evaluate lesion volume (LV) characteristics in a multicenter cohort of children with MS.

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

Geographical breakdown

Country Count As %
Spain 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Master 3 13%
Student > Bachelor 3 13%
Student > Postgraduate 2 9%
Professor 2 9%
Other 7 30%
Unknown 2 9%
Readers by discipline Count As %
Medicine and Dentistry 10 43%
Neuroscience 4 17%
Agricultural and Biological Sciences 2 9%
Immunology and Microbiology 1 4%
Nursing and Health Professions 1 4%
Other 2 9%
Unknown 3 13%

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 29 November 2013.
All research outputs
#9,906,438
of 12,373,815 outputs
Outputs from BMC Neurology
#1,120
of 1,406 outputs
Outputs of similar age
#151,093
of 221,100 outputs
Outputs of similar age from BMC Neurology
#172
of 198 outputs
Altmetric has tracked 12,373,815 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 1,406 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 9th percentile – i.e., 9% 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 221,100 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.