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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning algorithm-based identification and verification of characteristic genes in acute kidney injury
|
|---|---|
| Published in |
Frontiers in Medicine, October 2022
|
| DOI | 10.3389/fmed.2022.1016459 |
| Pubmed ID | |
| Authors |
Yinghao Li, Yiwei Du, Yanlong Zhang, Chao Chen, Jian Zhang, Xin Zhang, Min Zhang, Yong Yan |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Unknown | 5 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 6 | 75% |
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 15 October 2022.
All research outputs
#18,980,014
of 23,530,272 outputs
Outputs from Frontiers in Medicine
#4,226
of 6,066 outputs
Outputs of similar age
#306,193
of 441,246 outputs
Outputs of similar age from Frontiers in Medicine
#322
of 499 outputs
Altmetric has tracked 23,530,272 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,066 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 12th percentile – i.e., 12% 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 441,246 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.