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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Structural brain abnormalities in cervical dystonia
|
|---|---|
| Published in |
BMC Neuroscience, October 2013
|
| DOI | 10.1186/1471-2202-14-123 |
| Pubmed ID | |
| Authors |
Tino Prell, Thomas Peschel, Bernadette Köhler, Martin H Bokemeyer, Reinhard Dengler, Albrecht Günther, Julian Grosskreutz |
| Abstract |
Idiopathic cervical dystonia is characterized by involuntary spasms, tremors or jerks. It is not restricted to a disturbance in the basal ganglia system because non-conventional voxel-based MRI morphometry (VBM) and diffusion tensor imaging (DTI) have detected numerous regional changes in the brains of patients.In this study scans of 24 patients with cervical dystonia and 24 age-and sex-matched controls were analysed using VBM, DTI and magnetization transfer imaging (MTI) using a voxel-based approach and a region-of-interest analysis. Results were correlated with UDRS, TWSTRS and disease duration. |
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 % |
|---|---|---|
| United States | 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 65 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 17% |
| Student > Ph. D. Student | 10 | 15% |
| Student > Bachelor | 9 | 14% |
| Student > Doctoral Student | 4 | 6% |
| Student > Postgraduate | 4 | 6% |
| Other | 15 | 23% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 35% |
| Neuroscience | 16 | 24% |
| Agricultural and Biological Sciences | 3 | 5% |
| Computer Science | 2 | 3% |
| Nursing and Health Professions | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 18 | 27% |
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 16 October 2013.
All research outputs
#20,207,295
of 22,727,570 outputs
Outputs from BMC Neuroscience
#1,052
of 1,241 outputs
Outputs of similar age
#183,975
of 210,723 outputs
Outputs of similar age from BMC Neuroscience
#32
of 48 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,241 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 210,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 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.