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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Models for the Diagnosis and Prognosis Prediction of High-Grade B-Cell Lymphoma
|
|---|---|
| Published in |
Frontiers in immunology, May 2022
|
| DOI | 10.3389/fimmu.2022.919012 |
| Pubmed ID | |
| Authors |
Hui Kong, Haojie Zhu, Xiaoyun Zheng, Meichen Jiang, Lushan Chen, Lingqiong Lan, Jinhua Ren, Xiaofeng Luo, Jing Zheng, Zhihong Zheng, Zhizhe Chen, Jianda Hu, Ting Yang |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 9 | 82% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Computer Science | 1 | 9% |
| Unknown | 9 | 82% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 June 2022.
All research outputs
#15,181,325
of 25,392,582 outputs
Outputs from Frontiers in immunology
#14,219
of 31,549 outputs
Outputs of similar age
#202,491
of 444,351 outputs
Outputs of similar age from Frontiers in immunology
#799
of 1,810 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,549 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 52% 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 444,351 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 52% of its contemporaries.
We're also able to compare this research output to 1,810 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 51% of its contemporaries.