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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of the development of acute kidney injury following cardiac surgery by machine learning
|
|---|---|
| Published in |
Critical Care, July 2020
|
| DOI | 10.1186/s13054-020-03179-9 |
| Pubmed ID | |
| Authors |
Po-Yu Tseng, Yi-Ting Chen, Chuen-Heng Wang, Kuan-Ming Chiu, Yu-Sen Peng, Shih-Ping Hsu, Kang-Lung Chen, Chih-Yu Yang, Oscar Kuang-Sheng Lee |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 171 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 9% |
| Researcher | 15 | 9% |
| Student > Bachelor | 13 | 8% |
| Student > Master | 12 | 7% |
| Other | 11 | 6% |
| Other | 35 | 20% |
| Unknown | 69 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 43 | 25% |
| Computer Science | 11 | 6% |
| Engineering | 9 | 5% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Nursing and Health Professions | 5 | 3% |
| Other | 19 | 11% |
| Unknown | 78 | 46% |
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 18 June 2022.
All research outputs
#14,990,245
of 25,489,496 outputs
Outputs from Critical Care
#4,921
of 6,572 outputs
Outputs of similar age
#217,369
of 427,154 outputs
Outputs of similar age from Critical Care
#129
of 171 outputs
Altmetric has tracked 25,489,496 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,572 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 24th percentile – i.e., 24% 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 427,154 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.