The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
Title |
A Reparametrized CNN Model to Distinguish Alzheimer's Disease Applying Multiple Morphological Metrics and Deep Semantic Features From Structural MRI
|
---|---|
Published in |
Frontiers in Aging Neuroscience, May 2022
|
DOI | 10.3389/fnagi.2022.856391 |
Pubmed ID | |
Authors |
Zhenpeng Chen, Xiao Mo, Rong Chen, Pujie Feng, Haiyun Li |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 14% |
Lecturer | 1 | 14% |
Student > Master | 1 | 14% |
Unknown | 4 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 2 | 29% |
Chemical Engineering | 1 | 14% |
Unknown | 4 | 57% |
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 24 June 2022.
All research outputs
#3,376,145
of 23,577,761 outputs
Outputs from Frontiers in Aging Neuroscience
#1,809
of 4,973 outputs
Outputs of similar age
#73,074
of 441,918 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#113
of 336 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has gotten more attention than average, scoring higher than 59% 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 441,918 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 83% of its contemporaries.
We're also able to compare this research output to 336 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 61% of its contemporaries.