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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Unbiased Machine Learning Exploration Reveals Gene Sets Predictive of Allograft Tolerance After Kidney Transplantation
|
|---|---|
| Published in |
Frontiers in immunology, July 2021
|
| DOI | 10.3389/fimmu.2021.695806 |
| Pubmed ID | |
| Authors |
Qiang Fu, Divyansh Agarwal, Kevin Deng, Rudy Matheson, Hongji Yang, Liang Wei, Qing Ran, Shaoping Deng, James F. Markmann |
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 % |
|---|---|---|
| Unknown | 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 15% |
| Student > Master | 3 | 15% |
| Student > Ph. D. Student | 2 | 10% |
| Other | 1 | 5% |
| Unknown | 11 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 02 November 2023.
All research outputs
#8,575,549
of 26,163,973 outputs
Outputs from Frontiers in immunology
#10,577
of 33,001 outputs
Outputs of similar age
#169,579
of 454,627 outputs
Outputs of similar age from Frontiers in immunology
#477
of 1,437 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 33,001 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 66% 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 454,627 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 1,437 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.