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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of the Impact of Medical Features and Risk Prediction of Acute Kidney Injury for Critical Patients Using Temporal Electronic Health Record Data With Attention-Based Neural Network
|
|---|---|
| Published in |
Frontiers in Medicine, June 2021
|
| DOI | 10.3389/fmed.2021.658665 |
| Pubmed ID | |
| Authors |
Zhimeng Chen, Ming Chen, Xuri Sun, Xieli Guo, Qiuna Li, Yinqiong Huang, Yuren Zhang, Lianwei Wu, Yu Liu, Jinting Xu, Yuming Fang, Xiahong Lin |
X Demographics
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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 16% |
| Student > Ph. D. Student | 2 | 11% |
| Unspecified | 1 | 5% |
| Other | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 9 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 21% |
| Medicine and Dentistry | 2 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Unspecified | 1 | 5% |
| Environmental Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 47% |
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 21 June 2021.
All research outputs
#20,707,815
of 23,308,124 outputs
Outputs from Frontiers in Medicine
#5,181
of 5,969 outputs
Outputs of similar age
#368,691
of 447,756 outputs
Outputs of similar age from Frontiers in Medicine
#347
of 413 outputs
Altmetric has tracked 23,308,124 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 5,969 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. 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 447,756 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 413 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.