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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The role of machine learning in health policies during the COVID-19 pandemic and in long COVID management
|
|---|---|
| Published in |
Frontiers in Public Health, April 2023
|
| DOI | 10.3389/fpubh.2023.1140353 |
| Pubmed ID | |
| Authors |
Lindybeth Sarmiento Varón, Jorge González-Puelma, David Medina-Ortiz, Jacqueline Aldridge, Diego Alvarez-Saravia, Roberto Uribe-Paredes, Marcelo A. Navarrete |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 16% |
| Lecturer | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Bachelor | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 16% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 58% |
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 11 April 2023.
All research outputs
#15,995,614
of 23,742,253 outputs
Outputs from Frontiers in Public Health
#5,140
of 11,439 outputs
Outputs of similar age
#182,949
of 339,306 outputs
Outputs of similar age from Frontiers in Public Health
#233
of 809 outputs
Altmetric has tracked 23,742,253 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,439 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 50% 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 339,306 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 809 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 67% of its contemporaries.