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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A multistage multimodal deep learning model for disease severity assessment and early warnings of high-risk patients of COVID-19
|
|---|---|
| Published in |
Frontiers in Public Health, November 2022
|
| DOI | 10.3389/fpubh.2022.982289 |
| Pubmed ID | |
| Authors |
Zhuo Li, Ruiqing Xu, Yifei Shen, Jiannong Cao, Ben Wang, Ying Zhang, Shikang Li |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 25% |
| Researcher | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 1 | 25% |
| Unknown | 3 | 75% |
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 09 December 2022.
All research outputs
#18,142,662
of 23,306,612 outputs
Outputs from Frontiers in Public Health
#5,308
of 10,823 outputs
Outputs of similar age
#287,842
of 444,699 outputs
Outputs of similar age from Frontiers in Public Health
#535
of 1,376 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,823 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 43rd percentile – i.e., 43% 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 444,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,376 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 50% of its contemporaries.