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X Demographics
Mendeley readers
Attention Score in Context
| 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, for U.S. Network of Pediatric MS Centers of Excellence |
| 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. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 3% |
| Unknown | 32 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 15% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Bachelor | 4 | 12% |
| Researcher | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Other | 10 | 30% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 45% |
| Neuroscience | 5 | 15% |
| Agricultural and Biological Sciences | 3 | 9% |
| Nursing and Health Professions | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 5 | 15% |
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
#18,355,685
of 22,733,113 outputs
Outputs from BMC Neurology
#1,882
of 2,425 outputs
Outputs of similar age
#157,972
of 212,395 outputs
Outputs of similar age from BMC Neurology
#71
of 80 outputs
Altmetric has tracked 22,733,113 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 2,425 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. 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 212,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 80 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.