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Title |
Retinal Imaging Techniques Based on Machine Learning Models in Recognition and Prediction of Mild Cognitive Impairment
|
---|---|
Published in |
Neuropsychiatric Disease and Treatment, November 2021
|
DOI | 10.2147/ndt.s333833 |
Pubmed ID | |
Authors |
Qian Zhang, Jun Li, Minjie Bian, Qin He, Yuxian Shen, Yue Lan, Dongfeng Huang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 22% |
Spain | 1 | 11% |
India | 1 | 11% |
United Kingdom | 1 | 11% |
Brazil | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 17% |
Unspecified | 2 | 9% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 1 | 4% |
Professor | 1 | 4% |
Other | 3 | 13% |
Unknown | 11 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 13% |
Unspecified | 2 | 9% |
Medicine and Dentistry | 2 | 9% |
Business, Management and Accounting | 1 | 4% |
Chemical Engineering | 1 | 4% |
Other | 2 | 9% |
Unknown | 12 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 19 November 2021.
All research outputs
#2,813,705
of 25,392,582 outputs
Outputs from Neuropsychiatric Disease and Treatment
#367
of 3,131 outputs
Outputs of similar age
#62,916
of 443,559 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#7
of 41 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 88% 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 443,559 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 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.