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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting outcomes of chronic kidney disease from EMR data based on Random Forest Regression
|
|---|---|
| Published in |
Mathematical Biosciences, February 2019
|
| DOI | 10.1016/j.mbs.2019.02.001 |
| Pubmed ID | |
| Authors |
Jing Zhao, Shaopeng Gu, Adam McDermaid |
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 Kingdom | 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 17% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Bachelor | 8 | 11% |
| Researcher | 7 | 10% |
| Student > Doctoral Student | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 26 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 15% |
| Computer Science | 10 | 14% |
| Nursing and Health Professions | 6 | 8% |
| Agricultural and Biological Sciences | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 31 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 February 2019.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Mathematical Biosciences
#779
of 886 outputs
Outputs of similar age
#395,195
of 457,413 outputs
Outputs of similar age from Mathematical Biosciences
#11
of 13 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 886 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 457,413 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.