| Title |
Analysis of the Cost and Case-mix of Post-acute Stroke Patients in China Using Quantile Regression and the Decision-tree Models
|
|---|---|
| Published in |
Risk Management and Healthcare Policy, May 2022
|
| DOI | 10.2147/rmhp.s361385 |
| Pubmed ID | |
| Authors |
Mengjia Zhi, Linlin Hu, Fangli Geng, Ningjun Shao, Yuanli Liu |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 17% |
| Unspecified | 1 | 6% |
| Librarian | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 9 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 22% |
| Nursing and Health Professions | 2 | 11% |
| Unspecified | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Psychology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 8 | 44% |
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 23 May 2022.
All research outputs
#14,917,568
of 25,584,565 outputs
Outputs from Risk Management and Healthcare Policy
#288
of 735 outputs
Outputs of similar age
#195,646
of 446,917 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#14
of 32 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 735 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has gotten more attention than average, scoring higher than 60% 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 446,917 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 55% of its contemporaries.
We're also able to compare this research output to 32 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 59% of its contemporaries.