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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of a prediction model based on comorbidities to estimate the risk of in-hospital death in patients with COVID-19
|
|---|---|
| Published in |
Frontiers in Public Health, May 2023
|
| DOI | 10.3389/fpubh.2023.1194349 |
| Pubmed ID | |
| Authors |
Yangjie Zhu, Boyang Yu, Kang Tang, Tongtong Liu, Dongjun Niu, Lulu Zhang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 20% |
| Unknown | 4 | 80% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 1 | 20% |
| Unknown | 4 | 80% |
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 27 May 2023.
All research outputs
#21,246,172
of 23,861,318 outputs
Outputs from Frontiers in Public Health
#8,402
of 11,556 outputs
Outputs of similar age
#154,895
of 199,276 outputs
Outputs of similar age from Frontiers in Public Health
#169
of 376 outputs
Altmetric has tracked 23,861,318 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 11,556 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 199,276 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 376 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.