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X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine Learning Based Clinical Decision Support System for Early COVID-19 Mortality Prediction
|
---|---|
Published in |
Frontiers in Public Health, May 2021
|
DOI | 10.3389/fpubh.2021.626697 |
Pubmed ID | |
Authors |
Akshaya Karthikeyan, Akshit Garg, P. K. Vinod, U. Deva Priyakumar |
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 Arab Emirates | 1 | 33% |
India | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 158 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 20 | 13% |
Researcher | 10 | 6% |
Student > Ph. D. Student | 10 | 6% |
Lecturer | 9 | 6% |
Student > Bachelor | 8 | 5% |
Other | 28 | 18% |
Unknown | 73 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 24 | 15% |
Medicine and Dentistry | 12 | 8% |
Engineering | 10 | 6% |
Unspecified | 4 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
Other | 28 | 18% |
Unknown | 76 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 02 October 2022.
All research outputs
#15,223,208
of 25,844,815 outputs
Outputs from Frontiers in Public Health
#4,236
of 14,438 outputs
Outputs of similar age
#217,980
of 456,856 outputs
Outputs of similar age from Frontiers in Public Health
#204
of 541 outputs
Altmetric has tracked 25,844,815 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 69% 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 456,856 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 541 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 60% of its contemporaries.