| Title |
A diffusion tensor imaging atlas of white matter in tree shrew
|
|---|---|
| Published in |
Brain Structure and Function, September 2016
|
| DOI | 10.1007/s00429-016-1304-z |
| Pubmed ID | |
| Authors |
Jian-kun Dai, Shu-xia Wang, Dai Shan, Hai-chen Niu, Hao Lei |
| Abstract |
Tree shrews are small mammals now commonly classified in the order of Scandentia, but have relatively closer affinity to primates than rodents. The species has a high brain-to-body mass ratio and relatively well-differentiated neocortex, and thus has been frequently used in neuroscience research, especially for studies on vision and neurological/psychiatric diseases. The available atlases on tree shrew brain provided only limited information on white matter (WM) anatomy. In this study, diffusion tensor imaging (DTI) was used to study the WM anatomy of tree shrew, with the goal to establish an image-based WM atlas. DTI and T2-weighted anatomical images were acquired in vivo and from fixed brain samples. Deterministic tractography was used for three-dimensional reconstruction and rendering of major WM tracts. Myelin and neurofilaments staining were used to study the microstructural properties of certain WM tracts. Taking into account prior knowledge on tree shrew neuroanatomy, tractography results, and comparisons to the homologous structures in rodents and primates, an image-based WM atlas of tree shrew brain was constructed, which is available to research community upon request. |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 29% |
| Student > Master | 3 | 11% |
| Student > Postgraduate | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Professor | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 10 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 6 | 21% |
| Veterinary Science and Veterinary Medicine | 2 | 7% |
| Engineering | 2 | 7% |
| Psychology | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 14 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 26 September 2016.
All research outputs
#4,836,328
of 25,374,917 outputs
Outputs from Brain Structure and Function
#357
of 2,020 outputs
Outputs of similar age
#73,576
of 330,894 outputs
Outputs of similar age from Brain Structure and Function
#6
of 41 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,020 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 81% 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 330,894 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.