Title |
Application of artificial neural network model in diagnosis of Alzheimer’s disease
|
---|---|
Published in |
BMC Neurology, July 2019
|
DOI | 10.1186/s12883-019-1377-4 |
Pubmed ID | |
Authors |
Naibo Wang, Jinghua Chen, Hui Xiao, Lei Wu, Han Jiang, Yueping Zhou |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 92 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 9 | 10% |
Student > Ph. D. Student | 8 | 9% |
Other | 6 | 7% |
Student > Master | 5 | 5% |
Researcher | 5 | 5% |
Other | 13 | 14% |
Unknown | 46 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 12% |
Computer Science | 7 | 8% |
Engineering | 6 | 7% |
Biochemistry, Genetics and Molecular Biology | 4 | 4% |
Neuroscience | 4 | 4% |
Other | 12 | 13% |
Unknown | 48 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 18 July 2019.
All research outputs
#2,998,057
of 23,151,828 outputs
Outputs from BMC Neurology
#352
of 2,479 outputs
Outputs of similar age
#63,884
of 346,839 outputs
Outputs of similar age from BMC Neurology
#10
of 66 outputs
Altmetric has tracked 23,151,828 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 2,479 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. 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 346,839 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 81% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.