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X Demographics
Mendeley readers
Attention Score in Context
| Title |
White matter lesion filling improves the accuracy of cortical thickness measurements in multiple sclerosis patients: a longitudinal study
|
|---|---|
| Published in |
BMC Neuroscience, September 2014
|
| DOI | 10.1186/1471-2202-15-106 |
| Pubmed ID | |
| Authors |
Stefano Magon, Laura Gaetano, M Mallar Chakravarty, Jason P Lerch, Yvonne Naegelin, Christoph Stippich, Ludwig Kappos, Ernst-Wilhelm Radue, Till Sprenger |
| Abstract |
Previous studies have demonstrated that white matter (WM) lesions bias automated brain tissue classifications and cerebral volume measurements. However, filling WM lesions using the intensity of neighbouring normal-appearing WM has been shown to increase the accuracy of automated volume measurements in the brain. In the present study, we investigate the influence of WM lesions on cortical thickness (CTh) measures and assessed the impact of lesion filling on both cross-sectional/longitudinal and global/regional measurements of CTh in multiple sclerosis (MS) patients. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 3% |
| Italy | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 69 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 26% |
| Student > Master | 12 | 16% |
| Researcher | 11 | 15% |
| Other | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 9 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 22% |
| Neuroscience | 14 | 19% |
| Engineering | 8 | 11% |
| Agricultural and Biological Sciences | 6 | 8% |
| Psychology | 6 | 8% |
| Other | 6 | 8% |
| Unknown | 17 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 September 2014.
All research outputs
#13,063,777
of 22,763,032 outputs
Outputs from BMC Neuroscience
#521
of 1,242 outputs
Outputs of similar age
#108,988
of 238,616 outputs
Outputs of similar age from BMC Neuroscience
#11
of 23 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,242 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 57% of its peers.
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 238,616 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.