You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records
|
---|---|
Published in |
BMC Bioinformatics, May 2023
|
DOI | 10.1186/s12859-023-05321-0 |
Pubmed ID | |
Authors |
Seung Min Baik, Kyung Sook Hong, Dong Jin Park |
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 % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 15% |
Student > Master | 2 | 7% |
Student > Postgraduate | 1 | 4% |
Student > Ph. D. Student | 1 | 4% |
Unknown | 19 | 70% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 7% |
Nursing and Health Professions | 1 | 4% |
Business, Management and Accounting | 1 | 4% |
Social Sciences | 1 | 4% |
Computer Science | 1 | 4% |
Other | 0 | 0% |
Unknown | 21 | 78% |
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 10 May 2023.
All research outputs
#21,087,947
of 23,733,540 outputs
Outputs from BMC Bioinformatics
#7,028
of 7,426 outputs
Outputs of similar age
#163,829
of 208,923 outputs
Outputs of similar age from BMC Bioinformatics
#67
of 70 outputs
Altmetric has tracked 23,733,540 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 7,426 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 208,923 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 70 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.