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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting the Risk Factors Associated With Severe Outcomes Among COVID-19 Patients–Decision Tree Modeling Approach
|
|---|---|
| Published in |
Frontiers in Public Health, May 2022
|
| DOI | 10.3389/fpubh.2022.838514 |
| Pubmed ID | |
| Authors |
Mahalakshmi Kumaran, Truong-Minh Pham, Kaiming Wang, Hussain Usman, Colleen M. Norris, Judy MacDonald, Gavin Y. Oudit, Vineet Saini, Khokan C. Sikdar |
X Demographics
The data shown below were collected from the profiles of 8 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 States | 2 | 25% |
| Canada | 2 | 25% |
| Switzerland | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
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 % |
|---|---|---|
| Student > Master | 2 | 7% |
| Student > Doctoral Student | 1 | 4% |
| Librarian | 1 | 4% |
| Unspecified | 1 | 4% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 18 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 7% |
| Unspecified | 1 | 4% |
| Environmental Science | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 18 | 67% |
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 10 July 2022.
All research outputs
#8,355,452
of 24,978,429 outputs
Outputs from Frontiers in Public Health
#3,328
of 13,348 outputs
Outputs of similar age
#156,971
of 433,830 outputs
Outputs of similar age from Frontiers in Public Health
#210
of 1,118 outputs
Altmetric has tracked 24,978,429 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,348 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 74% 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 433,830 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 60% of its contemporaries.
We're also able to compare this research output to 1,118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.