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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Constructing Dynamic Brain Functional Networks via Hyper-Graph Manifold Regularization for Mild Cognitive Impairment Classification
|
|---|---|
| Published in |
Frontiers in Neuroscience, April 2021
|
| DOI | 10.3389/fnins.2021.669345 |
| Pubmed ID | |
| Authors |
Yixin Ji, Yutao Zhang, Haifeng Shi, Zhuqing Jiao, Shui-Hua Wang, Chuang Wang |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 9% |
| Student > Postgraduate | 1 | 9% |
| Lecturer > Senior Lecturer | 1 | 9% |
| Unknown | 8 | 73% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 1 | 9% |
| Computer Science | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Unknown | 8 | 73% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 23 April 2021.
All research outputs
#3,346,064
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#2,542
of 11,543 outputs
Outputs of similar age
#85,623
of 453,673 outputs
Outputs of similar age from Frontiers in Neuroscience
#101
of 384 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 76% 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 453,673 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 80% of its contemporaries.
We're also able to compare this research output to 384 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 71% of its contemporaries.