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X Demographics
Mendeley readers
Attention Score in Context
Title |
Prediction of acute kidney injury after cardiac surgery: model development using a Chinese electronic health record dataset
|
---|---|
Published in |
Journal of Translational Medicine, April 2022
|
DOI | 10.1186/s12967-022-03351-5 |
Pubmed ID | |
Authors |
Hang Zhang, Zhongtian Wang, Yingdan Tang, Xin Chen, Dongfang You, Yaqian Wu, Min Yu, Wen Chen, Yang Zhao, Xin Chen |
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 % |
---|---|---|
France | 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 8% |
Student > Ph. D. Student | 4 | 8% |
Other | 3 | 6% |
Student > Bachelor | 3 | 6% |
Researcher | 3 | 6% |
Other | 3 | 6% |
Unknown | 28 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 19% |
Computer Science | 3 | 6% |
Nursing and Health Professions | 2 | 4% |
Mathematics | 1 | 2% |
Social Sciences | 1 | 2% |
Other | 3 | 6% |
Unknown | 29 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 10 October 2022.
All research outputs
#3,324,944
of 23,506,079 outputs
Outputs from Journal of Translational Medicine
#549
of 4,165 outputs
Outputs of similar age
#75,683
of 443,934 outputs
Outputs of similar age from Journal of Translational Medicine
#13
of 104 outputs
Altmetric has tracked 23,506,079 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,165 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 86% 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 443,934 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.