| Title |
Leucocyte Subsets Effectively Predict the Clinical Outcome of Patients With COVID-19 Pneumonia: A Retrospective Case-Control Study
|
|---|---|
| Published in |
Frontiers in Public Health, June 2020
|
| DOI | 10.3389/fpubh.2020.00299 |
| Pubmed ID | |
| Authors |
Jiahua Gan, Jingjing Li, Shusheng Li, Chunguang Yang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 12% |
| Student > Bachelor | 11 | 11% |
| Other | 9 | 9% |
| Professor > Associate Professor | 8 | 8% |
| Student > Master | 8 | 8% |
| Other | 22 | 21% |
| Unknown | 33 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 27% |
| Immunology and Microbiology | 9 | 9% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Nursing and Health Professions | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 13 | 13% |
| Unknown | 41 | 40% |
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 07 July 2020.
All research outputs
#15,613,586
of 23,215,490 outputs
Outputs from Frontiers in Public Health
#4,809
of 10,664 outputs
Outputs of similar age
#249,501
of 399,369 outputs
Outputs of similar age from Frontiers in Public Health
#140
of 209 outputs
Altmetric has tracked 23,215,490 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,664 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has gotten more attention than average, scoring higher than 50% 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 399,369 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.