| Title |
Visualizing the Human Subcortex Using Ultra-high Field Magnetic Resonance Imaging
|
|---|---|
| Published in |
Brain Topography, March 2018
|
| DOI | 10.1007/s10548-018-0638-7 |
| Pubmed ID | |
| Authors |
M. C. Keuken, B. R. Isaacs, R. Trampel, W. van der Zwaag, B. U. Forstmann |
| Abstract |
With the recent increased availability of ultra-high field (UHF) magnetic resonance imaging (MRI), substantial progress has been made in visualizing the human brain, which can now be done in extraordinary detail. This review provides an extensive overview of the use of UHF MRI in visualizing the human subcortex for both healthy and patient populations. The high inter-subject variability in size and location of subcortical structures limits the usability of atlases in the midbrain. Fortunately, the combined results of this review indicate that a large number of subcortical areas can be visualized in individual space using UHF MRI. Current limitations and potential solutions of UHF MRI for visualizing the subcortex are also discussed. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 17% |
| Researcher | 13 | 17% |
| Student > Bachelor | 11 | 14% |
| Student > Master | 9 | 12% |
| Student > Doctoral Student | 6 | 8% |
| Other | 8 | 10% |
| Unknown | 18 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 18 | 23% |
| Medicine and Dentistry | 16 | 21% |
| Psychology | 5 | 6% |
| Engineering | 4 | 5% |
| Social Sciences | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 24 | 31% |
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 16 July 2018.
All research outputs
#13,044,672
of 23,096,849 outputs
Outputs from Brain Topography
#218
of 486 outputs
Outputs of similar age
#160,337
of 331,580 outputs
Outputs of similar age from Brain Topography
#8
of 16 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 486 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 54% 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 331,580 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 51% of its contemporaries.
We're also able to compare this research output to 16 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 50% of its contemporaries.