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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differences in Cerebral Structure Associated With Depressive Symptoms in the Elderly With Alzheimer’s Disease
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, May 2020
|
| DOI | 10.3389/fnagi.2020.00107 |
| Pubmed ID | |
| Authors |
Yue Wu, Xingqi Wu, Qiang Wei, Kai Wang, Yanghua Tian, and the Alzheimer’s Disease Neuroimaging Initiative |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 28% |
| Researcher | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Student > Postgraduate | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 7 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 19% |
| Neuroscience | 5 | 16% |
| Computer Science | 3 | 9% |
| Engineering | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 9 | 28% |
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 05 June 2020.
All research outputs
#3,178,335
of 25,622,179 outputs
Outputs from Frontiers in Aging Neuroscience
#1,280
of 5,546 outputs
Outputs of similar age
#81,827
of 421,228 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#37
of 104 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 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,546 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. 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 421,228 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 104 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 60% of its contemporaries.