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Mendeley readers
Attention Score in Context
| Title |
Divergent topological networks in Alzheimer’s disease: a diffusion kurtosis imaging analysis
|
|---|---|
| Published in |
Translational Neurodegeneration, April 2018
|
| DOI | 10.1186/s40035-018-0115-y |
| Pubmed ID | |
| Authors |
Jia-Xing Cheng, Hong-Ying Zhang, Zheng-Kun Peng, Yao Xu, Hui Tang, Jing-Tao Wu, Jun Xu |
| Abstract |
Brain consists of plenty of complicated cytoarchitecture. Gaussian-model based diffusion tensor imaging (DTI) is far from satisfactory interpretation of the structural complexity. Diffusion kurtosis imaging (DKI) is a tool to determine brain non-Gaussian diffusion properties. We investigated the network properties of DKI parameters in the whole brain using graph theory and further detected the alterations of the DKI networks in Alzheimer's disease (AD). Magnetic resonance DKI scanning was performed on 21 AD patients and 19 controls. Brain networks were constructed by the correlation matrices of 90 regions and analyzed through graph theoretical approaches. We found small world characteristics of DKI networks not only in the normal subjects but also in the AD patients; Grey matter networks of AD patients tended to be a less optimized network. Moreover, the divergent small world network features were shown in the AD white matter networks, which demonstrated increased shortest paths and decreased global efficiency with fiber tractography but decreased shortest paths and increased global efficiency with other DKI metrics. In addition, AD patients showed reduced nodal centrality predominantly in the default mode network areas. Finally, the DKI networks were more closely associated with cognitive impairment than the DTI networks. Our results suggest that DKI might be superior to DTI and could serve as a novel approach to understand the pathogenic mechanisms in neurodegenerative diseases. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 3 | 12% |
| Student > Doctoral Student | 3 | 12% |
| Professor | 2 | 8% |
| Lecturer | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 6 | 23% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 27% |
| Psychology | 2 | 8% |
| Nursing and Health Professions | 2 | 8% |
| Computer Science | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 10 | 38% |
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 04 May 2018.
All research outputs
#4,838,109
of 25,382,440 outputs
Outputs from Translational Neurodegeneration
#233
of 384 outputs
Outputs of similar age
#87,500
of 339,645 outputs
Outputs of similar age from Translational Neurodegeneration
#5
of 7 outputs
Altmetric has tracked 25,382,440 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 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.7. This one is in the 28th percentile – i.e., 28% 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 339,645 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 73% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.