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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning for the prediction of all-cause mortality in patients with sepsis-associated acute kidney injury during hospitalization
|
|---|---|
| Published in |
Frontiers in immunology, April 2023
|
| DOI | 10.3389/fimmu.2023.1140755 |
| Pubmed ID | |
| Authors |
Hongshan Zhou, Leping Liu, Qinyu Zhao, Xin Jin, Zhangzhe Peng, Wei Wang, Ling Huang, Yanyun Xie, Hui Xu, Lijian Tao, Xiangcheng Xiao, Wannian Nie, Fang Liu, Li Li, Qiongjing Yuan |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Student > Master | 2 | 10% |
| Student > Ph. D. Student | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 13 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 24% |
| Nursing and Health Professions | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Decision Sciences | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 57% |
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 04 April 2023.
All research outputs
#23,505,443
of 26,171,302 outputs
Outputs from Frontiers in immunology
#28,315
of 32,855 outputs
Outputs of similar age
#368,952
of 429,156 outputs
Outputs of similar age from Frontiers in immunology
#1,247
of 1,431 outputs
Altmetric has tracked 26,171,302 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 32,855 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. 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 429,156 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 1,431 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.