| Title |
Volume loss in the deep gray matter and thalamic subnuclei: a longitudinal study on disability progression in multiple sclerosis
|
|---|---|
| Published in |
Journal of Neurology, February 2020
|
| DOI | 10.1007/s00415-020-09740-4 |
| Pubmed ID | |
| Authors |
Stefano Magon, Charidimos Tsagkas, Laura Gaetano, Raihaan Patel, Yvonne Naegelin, Michael Amann, Katrin Parmar, Athina Papadopoulou, Jens Wuerfel, Christoph Stippich, Ludwig Kappos, M. Mallar Chakravarty, Till Sprenger |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 21% |
| Researcher | 7 | 16% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 10 | 23% |
| Medicine and Dentistry | 9 | 21% |
| Engineering | 2 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 19 | 44% |
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 12 February 2020.
All research outputs
#18,050,407
of 23,192,960 outputs
Outputs from Journal of Neurology
#3,605
of 4,547 outputs
Outputs of similar age
#314,806
of 455,714 outputs
Outputs of similar age from Journal of Neurology
#65
of 80 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 18th percentile – i.e., 18% 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 455,714 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% 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 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.