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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Brain Connectivity Based Prediction of Alzheimer’s Disease in Patients With Mild Cognitive Impairment Based on Multi-Modal Images
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, November 2019
|
| DOI | 10.3389/fnhum.2019.00399 |
| Pubmed ID | |
| Authors |
Weihao Zheng, Zhijun Yao, Yongchao Li, Yi Zhang, Bin Hu, Dan Wu, for the Alzheimer’s Disease Neuroimaging Initiative |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 20% |
| United States | 1 | 10% |
| France | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Practitioners (doctors, other healthcare professionals) | 2 | 20% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 4 | 12% |
| Student > Postgraduate | 4 | 12% |
| Researcher | 4 | 12% |
| Student > Doctoral Student | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 12 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 6 | 18% |
| Computer Science | 5 | 15% |
| Psychology | 4 | 12% |
| Mathematics | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 13 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 13 December 2019.
All research outputs
#2,633,636
of 25,622,179 outputs
Outputs from Frontiers in Human Neuroscience
#1,229
of 7,738 outputs
Outputs of similar age
#53,431
of 374,382 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#17
of 109 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 84% 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 374,382 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 85% of its contemporaries.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.