| Title |
Improved differentiation between MS and vascular brain lesions using FLAIR* at 7 Tesla
|
|---|---|
| Published in |
European Radiology, December 2013
|
| DOI | 10.1007/s00330-013-3080-y |
| Pubmed ID | |
| Authors |
Iris D. Kilsdonk, Mike P. Wattjes, Alexandra Lopez-Soriano, Joost P. A. Kuijer, Marcus C. de Jong, Wolter L. de Graaf, Mandy M. A. Conijn, Chris H. Polman, Peter R. Luijten, Jeroen J. G. Geurts, Mirjam I. Geerlings, Frederik Barkhof |
| Abstract |
To investigate whether a new magnetic resonance image (MRI) technique called T2*-weighted fluid attenuation inversion recovery (FLAIR*) can differentiate between multiple sclerosis (MS) and vascular brain lesions, at 7 Tesla (T). |
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 % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| United States | 1 | <1% |
| Czechia | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 99 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 22% |
| Student > Ph. D. Student | 16 | 15% |
| Other | 9 | 9% |
| Student > Bachelor | 9 | 9% |
| Student > Master | 6 | 6% |
| Other | 20 | 19% |
| Unknown | 21 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 42% |
| Neuroscience | 12 | 12% |
| Nursing and Health Professions | 4 | 4% |
| Agricultural and Biological Sciences | 4 | 4% |
| Engineering | 3 | 3% |
| Other | 12 | 12% |
| Unknown | 25 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 December 2013.
All research outputs
#14,121,187
of 22,736,112 outputs
Outputs from European Radiology
#2,127
of 4,102 outputs
Outputs of similar age
#175,362
of 306,960 outputs
Outputs of similar age from European Radiology
#8
of 17 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,102 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 47th percentile – i.e., 47% 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 306,960 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.