The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
A Fully Automatic Framework for Parkinson’s Disease Diagnosis by Multi-Modality Images
|
---|---|
Published in |
Frontiers in Neuroscience, August 2019
|
DOI | 10.3389/fnins.2019.00874 |
Pubmed ID | |
Authors |
Jiahang Xu, Fangyang Jiao, Yechong Huang, Xinzhe Luo, Qian Xu, Ling Li, Xueling Liu, Chuantao Zuo, Ping Wu, Xiahai Zhuang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 14% |
Student > Bachelor | 4 | 9% |
Student > Master | 4 | 9% |
Researcher | 4 | 9% |
Professor | 3 | 7% |
Other | 6 | 14% |
Unknown | 17 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 18% |
Neuroscience | 7 | 16% |
Computer Science | 4 | 9% |
Psychology | 3 | 7% |
Medicine and Dentistry | 2 | 5% |
Other | 4 | 9% |
Unknown | 16 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 September 2019.
All research outputs
#3,275,396
of 26,557,909 outputs
Outputs from Frontiers in Neuroscience
#2,179
of 11,938 outputs
Outputs of similar age
#61,174
of 354,768 outputs
Outputs of similar age from Frontiers in Neuroscience
#62
of 338 outputs
Altmetric has tracked 26,557,909 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 11,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 81% 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 354,768 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 82% of its contemporaries.
We're also able to compare this research output to 338 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.