The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
Individual Factors Associated With COVID-19 Infection: A Machine Learning Study
|
|---|---|
| Published in |
Frontiers in Public Health, June 2022
|
| DOI | 10.3389/fpubh.2022.912099 |
| Pubmed ID | |
| Authors |
Tania Ramírez-del Real, Mireya Martínez-García, Manlio F. Márquez, Laura López-Trejo, Guadalupe Gutiérrez-Esparza, Enrique Hernández-Lemus |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 23% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Bachelor | 1 | 5% |
| Student > Postgraduate | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 14% |
| Environmental Science | 2 | 9% |
| Computer Science | 2 | 9% |
| Sports and Recreations | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 11 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 07 July 2022.
All research outputs
#14,514,406
of 24,353,295 outputs
Outputs from Frontiers in Public Health
#3,826
of 12,434 outputs
Outputs of similar age
#189,011
of 427,629 outputs
Outputs of similar age from Frontiers in Public Health
#269
of 1,275 outputs
Altmetric has tracked 24,353,295 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,434 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 67% 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 427,629 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 53% of its contemporaries.
We're also able to compare this research output to 1,275 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.