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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of Machine Learning to Predict Acute Kidney Disease in Patients With Sepsis Associated Acute Kidney Injury
|
|---|---|
| Published in |
Frontiers in Medicine, December 2021
|
| DOI | 10.3389/fmed.2021.792974 |
| Pubmed ID | |
| Authors |
Jiawei He, Jin Lin, Meili Duan |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Japan | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 24% |
| Student > Master | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Professor | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 10 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 28% |
| Medicine and Dentistry | 2 | 8% |
| Engineering | 2 | 8% |
| Mathematics | 1 | 4% |
| Neuroscience | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 December 2021.
All research outputs
#14,798,708
of 22,785,242 outputs
Outputs from Frontiers in Medicine
#2,682
of 5,612 outputs
Outputs of similar age
#257,457
of 499,658 outputs
Outputs of similar age from Frontiers in Medicine
#243
of 592 outputs
Altmetric has tracked 22,785,242 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 47th percentile – i.e., 47% 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 499,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 592 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 52% of its contemporaries.