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X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine learning models for predicting steroid-resistant of nephrotic syndrome
|
---|---|
Published in |
Frontiers in immunology, January 2023
|
DOI | 10.3389/fimmu.2023.1090241 |
Pubmed ID | |
Authors |
Qing Ye, Yuzhou Li, Huihui Liu, Jianhua Mao, Hangjin Jiang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
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 % |
---|---|---|
Unspecified | 3 | 38% |
Student > Bachelor | 1 | 13% |
Researcher | 1 | 13% |
Unknown | 3 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 3 | 38% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 25% |
Unknown | 3 | 38% |
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 26 January 2023.
All research outputs
#21,825,108
of 26,798,288 outputs
Outputs from Frontiers in immunology
#26,206
of 33,680 outputs
Outputs of similar age
#368,735
of 494,737 outputs
Outputs of similar age from Frontiers in immunology
#1,351
of 1,618 outputs
Altmetric has tracked 26,798,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,680 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 13th percentile – i.e., 13% 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 494,737 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,618 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.