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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Comparison of XGBoost, Random Forest, and Nomograph for the Prediction of Disease Severity in Patients With COVID-19 Pneumonia: Implications of Cytokine and Immune Cell Profile
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, April 2022
|
| DOI | 10.3389/fcimb.2022.819267 |
| Pubmed ID | |
| Authors |
Wandong Hong, Xiaoying Zhou, Shengchun Jin, Yajing Lu, Jingyi Pan, Qingyi Lin, Shaopeng Yang, Tingting Xu, Zarrin Basharat, Maddalena Zippi, Sirio Fiorino, Vladislav Tsukanov, Simon Stock, Alfonso Grottesi, Qin Chen, Jingye Pan |
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 % |
|---|---|---|
| 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 20 | 43% |
| Researcher | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Student > Master | 3 | 6% |
| Student > Ph. D. Student | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 20 | 43% |
| Medicine and Dentistry | 8 | 17% |
| Environmental Science | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 11 | 23% |
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 12 April 2022.
All research outputs
#22,823,736
of 25,443,857 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#7,652
of 8,110 outputs
Outputs of similar age
#380,765
of 447,754 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#462
of 468 outputs
Altmetric has tracked 25,443,857 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 8,110 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 447,754 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 468 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.