Title |
A Deep Learning Model to Predict Knee Osteoarthritis Based on Nonimage Longitudinal Medical Record
|
---|---|
Published in |
Journal of Multidisciplinary Healthcare, September 2021
|
DOI | 10.2147/jmdh.s325179 |
Pubmed ID | |
Authors |
Dina Nur Anggraini Ningrum, Woon-Man Kung, I-Shiang Tzeng, Sheng-Po Yuan, Chieh-Chen Wu, Chu-Ya Huang, Muhammad Solihuddin Muhtar, Phung-Anh Nguyen, Jack Yu-Chuan Li, Yao-Chin Wang |
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 % |
---|---|---|
United States | 1 | 20% |
France | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 11% |
Student > Ph. D. Student | 5 | 9% |
Lecturer | 4 | 7% |
Student > Master | 4 | 7% |
Other | 3 | 5% |
Other | 7 | 13% |
Unknown | 26 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 13% |
Nursing and Health Professions | 4 | 7% |
Computer Science | 3 | 5% |
Unspecified | 3 | 5% |
Neuroscience | 3 | 5% |
Other | 7 | 13% |
Unknown | 28 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 25 September 2021.
All research outputs
#7,656,930
of 23,310,485 outputs
Outputs from Journal of Multidisciplinary Healthcare
#304
of 850 outputs
Outputs of similar age
#154,267
of 429,594 outputs
Outputs of similar age from Journal of Multidisciplinary Healthcare
#19
of 61 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 850 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 62% 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 429,594 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 61 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 67% of its contemporaries.